Overview

Brought to you by YData

Dataset statistics

Number of variables154
Number of observations100
Missing cells0
Missing cells (%)0.0%
Total size in memory120.4 KiB
Average record size in memory1.2 KiB

Variable types

Text3
Numeric151

Alerts

FundaIndxint has unique values Unique
FundaIndxsga has unique values Unique
monthvwretd has unique values Unique
monthvwretx has unique values Unique
monthewretd has unique values Unique
monthewretx has unique values Unique
monthsprtrn has unique values Unique
monthspindx has unique values Unique
monthCAP1RET has unique values Unique
monthCAP2RET has unique values Unique
monthCAP3RET has unique values Unique
monthCAP4RET has unique values Unique
monthCAP5RET has unique values Unique
monthCAP6RET has unique values Unique
monthCAP7RET has unique values Unique
monthCAP8RET has unique values Unique
monthCAP9RET has unique values Unique
monthCAP10RET has unique values Unique
monthtotval has unique values Unique
monthtotcnt has unique values Unique
monthusdval has unique values Unique
monthusdcnt has unique values Unique
monthprtcnt has unique values Unique
monthtotret has unique values Unique
monthtotind has unique values Unique
monthcapret has unique values Unique
monthcapind has unique values Unique
monthincret has unique values Unique
monthincind has unique values Unique
SPIndvwretd has unique values Unique
SPIndvwretx has unique values Unique
SPIndewretd has unique values Unique
SPIndewretx has unique values Unique
SPIndtotval has unique values Unique
SPIndtotcnt has unique values Unique
SPIndusdval has unique values Unique
SPIndusdcnt has unique values Unique
SPIndspindx has unique values Unique
SPIndsprtrn has unique values Unique
SPporvwretd has unique values Unique
SPporvwretx has unique values Unique
SPporewretd has unique values Unique
SPporewretx has unique values Unique
SPportotval has unique values Unique
SPportotcnt has unique values Unique
SPporusdval has unique values Unique
SPporusdcnt has unique values Unique
SPporspindx has unique values Unique
SPporsprtrn has unique values Unique
usind2CRSPMEV1 has unique values Unique
usind2CRSPMEG1 has unique values Unique
usind2CRSPLCV1 has unique values Unique
usind2CRSPLCG1 has unique values Unique
usind2CRSPMIV1 has unique values Unique
usind2CRSPMIG1 has unique values Unique
usind2CRSPSCV1 has unique values Unique
usind2CRSPSCG1 has unique values Unique
usind2CRSPMEVT has unique values Unique
usind2CRSPMEGT has unique values Unique
usind2CRSPLCVT has unique values Unique
usind2CRSPLCGT has unique values Unique
usind2CRSPMIVT has unique values Unique
usind2CRSPMIGT has unique values Unique
usind2CRSPSCVT has unique values Unique
usind2CRSPSCGT has unique values Unique
stockvwretd has unique values Unique
stockvwretx has unique values Unique
stockvwTotVal has unique values Unique
stockvwUsdVal has unique values Unique
stockvwTotCnt has unique values Unique
stockvwUsdCnt has unique values Unique
stockewretd has unique values Unique
stockewretx has unique values Unique
stockewTotVal has unique values Unique
stockewUsdVal has unique values Unique
stockewTotCnt has unique values Unique
stockewUsdCnt has unique values Unique
stocksprtrn has unique values Unique
ustreb30ret has unique values Unique
ustreb30ind has unique values Unique
ustreb20ret has unique values Unique
ustreb20ind has unique values Unique
ustreb10ret has unique values Unique
ustreb10ind has unique values Unique
ustreb7ret has unique values Unique
ustreb7ind has unique values Unique
ustreb5ret has unique values Unique
ustreb5ind has unique values Unique
ustreb2ret has unique values Unique
ustreb2ind has unique values Unique
ustreb1ret has unique values Unique
ustreb1ind has unique values Unique
ustret90ret has unique values Unique
ustret90ind has unique values Unique
ustret30ret has unique values Unique
ustret30ind has unique values Unique
ustrecpiret has unique values Unique
ajexm has unique values Unique
ajpm has unique values Unique
cshtrm has unique values Unique
prccm has unique values Unique
prchm has unique values Unique
prclm has unique values Unique
trfm has unique values Unique
trt1m has unique values Unique
index_y has unique values Unique
CAPEI has unique values Unique
bm has unique values Unique
evm has unique values Unique
pe_op_basic has unique values Unique
pe_op_dil has unique values Unique
pe_exi has unique values Unique
pe_inc has unique values Unique
ps has unique values Unique
pcf has unique values Unique
npm has unique values Unique
opmbd has unique values Unique
opmad has unique values Unique
gpm has unique values Unique
ptpm has unique values Unique
cfm has unique values Unique
roa has unique values Unique
roe has unique values Unique
roce has unique values Unique
aftret_eq has unique values Unique
aftret_invcapx has unique values Unique
aftret_equity has unique values Unique
GProf has unique values Unique
equity_invcap has unique values Unique
debt_invcap has unique values Unique
totdebt_invcap has unique values Unique
capital_ratio has unique values Unique
cash_lt has unique values Unique
debt_at has unique values Unique
debt_ebitda has unique values Unique
lt_debt has unique values Unique
cash_debt has unique values Unique
lt_ppent has unique values Unique
dltt_be has unique values Unique
debt_assets has unique values Unique
debt_capital has unique values Unique
de_ratio has unique values Unique
at_turn has unique values Unique
rect_turn has unique values Unique
pay_turn has unique values Unique
sale_invcap has unique values Unique
sale_equity has unique values Unique
rd_sale has unique values Unique
adv_sale has unique values Unique
staff_sale has unique values Unique
accrual has unique values Unique

Reproduction

Analysis started2025-03-29 10:24:38.771579
Analysis finished2025-03-29 10:24:42.380927
Duration3.61 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2025-03-29T15:54:42.691535image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.94
Min length3

Characters and Unicode

Total characters494
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFitch
2nd rowMoody's
3rd rowFitch
4th rowFitch
5th rowMoody's
ValueCountFrequency (%)
s&p 36
36.0%
moody's 33
33.0%
fitch 31
31.0%
2025-03-29T15:54:44.219263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 66
13.4%
S 36
 
7.3%
& 36
 
7.3%
P 36
 
7.3%
M 33
 
6.7%
d 33
 
6.7%
y 33
 
6.7%
' 33
 
6.7%
s 33
 
6.7%
F 31
 
6.3%
Other values (4) 124
25.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 494
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 66
13.4%
S 36
 
7.3%
& 36
 
7.3%
P 36
 
7.3%
M 33
 
6.7%
d 33
 
6.7%
y 33
 
6.7%
' 33
 
6.7%
s 33
 
6.7%
F 31
 
6.3%
Other values (4) 124
25.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 494
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 66
13.4%
S 36
 
7.3%
& 36
 
7.3%
P 36
 
7.3%
M 33
 
6.7%
d 33
 
6.7%
y 33
 
6.7%
' 33
 
6.7%
s 33
 
6.7%
F 31
 
6.3%
Other values (4) 124
25.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 494
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 66
13.4%
S 36
 
7.3%
& 36
 
7.3%
P 36
 
7.3%
M 33
 
6.7%
d 33
 
6.7%
y 33
 
6.7%
' 33
 
6.7%
s 33
 
6.7%
F 31
 
6.3%
Other values (4) 124
25.1%

Rating
Text

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2025-03-29T15:54:44.590725image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.45
Min length1

Characters and Unicode

Total characters245
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA+
2nd rowBB
3rd rowBB
4th rowBBB
5th rowAA
ValueCountFrequency (%)
bbb 28
28.0%
a 26
26.0%
aa 25
25.0%
bb 11
 
11.0%
aaa 10
 
10.0%
2025-03-29T15:54:45.502103image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
B 106
43.3%
A 106
43.3%
+ 33
 
13.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 245
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
B 106
43.3%
A 106
43.3%
+ 33
 
13.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 245
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
B 106
43.3%
A 106
43.3%
+ 33
 
13.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 245
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
B 106
43.3%
A 106
43.3%
+ 33
 
13.5%

FundaIndxint
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06720078787
Minimum-2.318068248
Maximum3.061095214
Zeros0
Zeros (%)0.0%
Negative59
Negative (%)59.0%
Memory size928.0 B
2025-03-29T15:54:46.018462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.318068248
5-th percentile-1.704046154
Q1-0.7331560635
median-0.1505134984
Q30.5379317562
95-th percentile1.784455509
Maximum3.061095214
Range5.379163463
Interquartile range (IQR)1.27108782

Descriptive statistics

Standard deviation1.017369609
Coefficient of variation (CV)-15.13925121
Kurtosis0.6912630372
Mean-0.06720078787
Median Absolute Deviation (MAD)0.6186879744
Skewness0.4893647284
Sum-6.720078787
Variance1.035040922
MonotonicityNot monotonic
2025-03-29T15:54:46.280077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1506590435 1
 
1.0%
0.5956436518 1
 
1.0%
-0.7392364315 1
 
1.0%
1.663769789 1
 
1.0%
0.4380225974 1
 
1.0%
-0.3914018121 1
 
1.0%
0.5186944577 1
 
1.0%
-0.04764371116 1
 
1.0%
0.7768230044 1
 
1.0%
-0.5412854416 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.318068248 1
1.0%
-2.093794004 1
1.0%
-1.991537787 1
1.0%
-1.944229594 1
1.0%
-1.93637621 1
1.0%
ValueCountFrequency (%)
3.061095214 1
1.0%
2.783938046 1
1.0%
2.244806606 1
1.0%
1.923624412 1
1.0%
1.889547656 1
1.0%

FundaIndxsga
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07531700239
Minimum-2.339596564
Maximum3.253985126
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:54:46.417874image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.339596564
5-th percentile-1.53461181
Q1-0.587365554
median0.1001860828
Q30.7508130782
95-th percentile1.809192316
Maximum3.253985126
Range5.59358169
Interquartile range (IQR)1.338178632

Descriptive statistics

Standard deviation1.029465862
Coefficient of variation (CV)13.66843913
Kurtosis0.0129564579
Mean0.07531700239
Median Absolute Deviation (MAD)0.6650683653
Skewness0.1634649143
Sum7.531700239
Variance1.059799962
MonotonicityNot monotonic
2025-03-29T15:54:46.580246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4200474646 1
 
1.0%
-0.8047366851 1
 
1.0%
-1.356785484 1
 
1.0%
-0.5054422738 1
 
1.0%
1.18348232 1
 
1.0%
-0.2584177358 1
 
1.0%
0.0827304358 1
 
1.0%
0.09007258698 1
 
1.0%
0.4045828951 1
 
1.0%
1.813666576 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.339596564 1
1.0%
-1.875778639 1
1.0%
-1.874468875 1
1.0%
-1.581653926 1
1.0%
-1.544998949 1
1.0%
ValueCountFrequency (%)
3.253985126 1
1.0%
2.024720998 1
1.0%
1.951280086 1
1.0%
1.933542629 1
1.0%
1.813666576 1
1.0%

monthvwretd
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01072772249
Minimum-3.478169214
Maximum2.539257791
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size928.0 B
2025-03-29T15:54:46.734514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.478169214
5-th percentile-1.61541782
Q1-0.6818760581
median0.0201464595
Q30.6130137685
95-th percentile1.906188355
Maximum2.539257791
Range6.017427005
Interquartile range (IQR)1.294889827

Descriptive statistics

Standard deviation1.09157989
Coefficient of variation (CV)101.7531812
Kurtosis0.3871070259
Mean0.01072772249
Median Absolute Deviation (MAD)0.6674312033
Skewness-0.1438503995
Sum1.072772249
Variance1.191546656
MonotonicityNot monotonic
2025-03-29T15:54:46.884506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.8469337372 1
 
1.0%
-0.2682630619 1
 
1.0%
0.8026522556 1
 
1.0%
0.2334657965 1
 
1.0%
0.5252117127 1
 
1.0%
1.149623079 1
 
1.0%
-0.389910391 1
 
1.0%
1.396793579 1
 
1.0%
2.539257791 1
 
1.0%
-0.5632586115 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.478169214 1
1.0%
-2.564341981 1
1.0%
-2.062525674 1
1.0%
-2.029230855 1
1.0%
-1.89674722 1
1.0%
ValueCountFrequency (%)
2.539257791 1
1.0%
2.341975203 1
1.0%
2.052452742 1
1.0%
1.961303472 1
1.0%
1.911529607 1
1.0%

monthvwretx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1274773015
Minimum-2.277950418
Maximum2.616699947
Zeros0
Zeros (%)0.0%
Negative44
Negative (%)44.0%
Memory size928.0 B
2025-03-29T15:54:47.051136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.277950418
5-th percentile-1.660380616
Q1-0.5285317338
median0.1418560113
Q30.7040342778
95-th percentile1.986679994
Maximum2.616699947
Range4.894650364
Interquartile range (IQR)1.232566012

Descriptive statistics

Standard deviation1.093257729
Coefficient of variation (CV)8.576097207
Kurtosis-0.1521294156
Mean0.1274773015
Median Absolute Deviation (MAD)0.6287486578
Skewness0.1186064221
Sum12.74773015
Variance1.195212463
MonotonicityNot monotonic
2025-03-29T15:54:47.217455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.560225711 1
 
1.0%
-2.277950418 1
 
1.0%
0.4945666021 1
 
1.0%
-0.4307923879 1
 
1.0%
2.616699947 1
 
1.0%
-1.746161559 1
 
1.0%
0.8318181761 1
 
1.0%
0.5663401305 1
 
1.0%
-0.07450764653 1
 
1.0%
1.795164557 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.277950418 1
1.0%
-2.138800315 1
1.0%
-2.110699521 1
1.0%
-1.746161559 1
1.0%
-1.684872139 1
1.0%
ValueCountFrequency (%)
2.616699947 1
1.0%
2.573324952 1
1.0%
2.389878272 1
1.0%
2.381636795 1
1.0%
1.997008157 1
1.0%

monthewretd
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09324779238
Minimum-2.572931241
Maximum3.174442137
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:54:47.367434image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.572931241
5-th percentile-1.880104532
Q1-0.6365869098
median0.208632986
Q30.8061558149
95-th percentile1.775806241
Maximum3.174442137
Range5.747373379
Interquartile range (IQR)1.442742725

Descriptive statistics

Standard deviation1.111349972
Coefficient of variation (CV)11.91824432
Kurtosis0.06386924921
Mean0.09324779238
Median Absolute Deviation (MAD)0.7006384272
Skewness-0.1307111748
Sum9.324779238
Variance1.23509876
MonotonicityNot monotonic
2025-03-29T15:54:47.517884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5793034369 1
 
1.0%
1.301849168 1
 
1.0%
-0.6903992843 1
 
1.0%
1.397164428 1
 
1.0%
-1.358711515 1
 
1.0%
0.5377659584 1
 
1.0%
-1.099355825 1
 
1.0%
-1.234944394 1
 
1.0%
-0.3892881917 1
 
1.0%
0.4188394139 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.572931241 1
1.0%
-2.339593003 1
1.0%
-2.326351713 1
1.0%
-2.289061257 1
1.0%
-2.244802908 1
1.0%
ValueCountFrequency (%)
3.174442137 1
1.0%
2.276651626 1
1.0%
2.257198281 1
1.0%
1.999317206 1
1.0%
1.84094307 1
1.0%

monthewretx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03218022597
Minimum-3.568205299
Maximum2.760761936
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:54:47.684344image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.568205299
5-th percentile-1.702637454
Q1-0.6248496056
median0.03728456356
Q30.8249117185
95-th percentile1.624801084
Maximum2.760761936
Range6.328967235
Interquartile range (IQR)1.449761324

Descriptive statistics

Standard deviation1.088224333
Coefficient of variation (CV)33.81655349
Kurtosis0.7729426951
Mean0.03218022597
Median Absolute Deviation (MAD)0.6970948979
Skewness-0.224312146
Sum3.218022597
Variance1.184232199
MonotonicityNot monotonic
2025-03-29T15:54:47.834374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5783139229 1
 
1.0%
0.3336435315 1
 
1.0%
-0.2223947199 1
 
1.0%
-1.044494746 1
 
1.0%
-1.200169996 1
 
1.0%
0.6173898097 1
 
1.0%
1.620768023 1
 
1.0%
-0.7943025752 1
 
1.0%
0.08769948286 1
 
1.0%
1.701429244 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.568205299 1
1.0%
-2.57821543 1
1.0%
-2.174323564 1
1.0%
-2.124098074 1
1.0%
-1.880691769 1
1.0%
ValueCountFrequency (%)
2.760761936 1
1.0%
2.57137236 1
1.0%
2.429847729 1
1.0%
1.949732596 1
1.0%
1.701429244 1
1.0%

monthsprtrn
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0266234421
Minimum-2.712490492
Maximum1.601238227
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size928.0 B
2025-03-29T15:54:47.986450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.712490492
5-th percentile-2.015582985
Q1-0.511380032
median0.0523127046
Q30.7331666426
95-th percentile1.356644552
Maximum1.601238227
Range4.313728719
Interquartile range (IQR)1.244546675

Descriptive statistics

Standard deviation1.025099624
Coefficient of variation (CV)-38.50364729
Kurtosis0.06413664208
Mean-0.0266234421
Median Absolute Deviation (MAD)0.6240740039
Skewness-0.7238031054
Sum-2.66234421
Variance1.05082924
MonotonicityNot monotonic
2025-03-29T15:54:48.134297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.2250059034 1
 
1.0%
0.8360610512 1
 
1.0%
-0.5552239991 1
 
1.0%
-0.02427727989 1
 
1.0%
-0.1719133711 1
 
1.0%
0.6409038494 1
 
1.0%
-0.01988161029 1
 
1.0%
0.2561614584 1
 
1.0%
0.9958575287 1
 
1.0%
-0.2181038984 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.712490492 1
1.0%
-2.64725288 1
1.0%
-2.52933744 1
1.0%
-2.119357368 1
1.0%
-2.085217644 1
1.0%
ValueCountFrequency (%)
1.601238227 1
1.0%
1.444173079 1
1.0%
1.388591121 1
1.0%
1.367985307 1
1.0%
1.356856774 1
1.0%

monthspindx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1077468925
Minimum-1.846772434
Maximum2.564057949
Zeros0
Zeros (%)0.0%
Negative47
Negative (%)47.0%
Memory size928.0 B
2025-03-29T15:54:48.284124image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.846772434
5-th percentile-1.23837978
Q1-0.5420755537
median0.07628501628
Q30.6493349355
95-th percentile1.392124606
Maximum2.564057949
Range4.410830384
Interquartile range (IQR)1.191410489

Descriptive statistics

Standard deviation0.881458123
Coefficient of variation (CV)8.180821761
Kurtosis0.1869008798
Mean0.1077468925
Median Absolute Deviation (MAD)0.6038929917
Skewness0.2459923742
Sum10.77468925
Variance0.7769684227
MonotonicityNot monotonic
2025-03-29T15:54:48.428429image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4158673414 1
 
1.0%
-0.2363528339 1
 
1.0%
-0.04157009754 1
 
1.0%
-0.6954216299 1
 
1.0%
0.976899078 1
 
1.0%
0.751902618 1
 
1.0%
-0.6247067232 1
 
1.0%
0.5186396476 1
 
1.0%
0.6767702707 1
 
1.0%
0.7704252171 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.846772434 1
1.0%
-1.708767639 1
1.0%
-1.705086669 1
1.0%
-1.499836911 1
1.0%
-1.493829641 1
1.0%
ValueCountFrequency (%)
2.564057949 1
1.0%
2.453842174 1
1.0%
2.020401964 1
1.0%
2.016887544 1
1.0%
1.567307867 1
1.0%

monthCAP1RET
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1664564538
Minimum-2.284819572
Maximum3.094049016
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:54:48.717453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.284819572
5-th percentile-1.473221498
Q1-0.4895794514
median0.08410092208
Q30.937879742
95-th percentile1.751392276
Maximum3.094049016
Range5.378868588
Interquartile range (IQR)1.427459193

Descriptive statistics

Standard deviation1.090800245
Coefficient of variation (CV)6.5530667
Kurtosis-0.1758178473
Mean0.1664564538
Median Absolute Deviation (MAD)0.7592515089
Skewness0.190051483
Sum16.64564538
Variance1.189845174
MonotonicityNot monotonic
2025-03-29T15:54:48.853278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.215753374 1
 
1.0%
-0.424038582 1
 
1.0%
3.094049016 1
 
1.0%
-0.4896994745 1
 
1.0%
1.198444953 1
 
1.0%
-1.31122101 1
 
1.0%
-0.08185073149 1
 
1.0%
-0.5629936715 1
 
1.0%
0.3752512556 1
 
1.0%
0.5711939206 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.284819572 1
1.0%
-2.02666213 1
1.0%
-1.717793624 1
1.0%
-1.543537812 1
1.0%
-1.486770783 1
1.0%
ValueCountFrequency (%)
3.094049016 1
1.0%
2.946212827 1
1.0%
2.368559128 1
1.0%
2.155884909 1
1.0%
2.115755722 1
1.0%

monthCAP2RET
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01664168666
Minimum-2.455125026
Maximum2.307791695
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size928.0 B
2025-03-29T15:54:49.000438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.455125026
5-th percentile-1.854327078
Q1-0.6692539434
median0.006113914521
Q30.7795292169
95-th percentile1.715806482
Maximum2.307791695
Range4.762916721
Interquartile range (IQR)1.44878316

Descriptive statistics

Standard deviation1.068152107
Coefficient of variation (CV)-64.18532737
Kurtosis-0.4502568292
Mean-0.01664168666
Median Absolute Deviation (MAD)0.7233174019
Skewness-0.09609600144
Sum-1.664168666
Variance1.140948923
MonotonicityNot monotonic
2025-03-29T15:54:49.133836image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.476300641 1
 
1.0%
-0.4272856256 1
 
1.0%
0.2790304255 1
 
1.0%
-0.4020348103 1
 
1.0%
0.1667696196 1
 
1.0%
0.1837711346 1
 
1.0%
0.1965820735 1
 
1.0%
-0.05162847229 1
 
1.0%
-1.218972523 1
 
1.0%
0.8051926748 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.455125026 1
1.0%
-2.324679272 1
1.0%
-2.153879245 1
1.0%
-2.121555941 1
1.0%
-1.918674757 1
1.0%
ValueCountFrequency (%)
2.307791695 1
1.0%
2.028357192 1
1.0%
1.951034298 1
1.0%
1.811692056 1
1.0%
1.71676548 1
1.0%

monthCAP3RET
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004518758895
Minimum-2.416451765
Maximum3.141966977
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:54:49.267102image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.416451765
5-th percentile-1.869399592
Q1-0.7448816855
median0.1463922272
Q30.7082403311
95-th percentile1.832200304
Maximum3.141966977
Range5.558418743
Interquartile range (IQR)1.453122017

Descriptive statistics

Standard deviation1.122464913
Coefficient of variation (CV)248.4011516
Kurtosis-0.1238181349
Mean0.004518758895
Median Absolute Deviation (MAD)0.7208873453
Skewness0.1525033202
Sum0.4518758895
Variance1.259927482
MonotonicityNot monotonic
2025-03-29T15:54:49.400496image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8748344383 1
 
1.0%
0.4575426362 1
 
1.0%
-1.892184249 1
 
1.0%
2.468052182 1
 
1.0%
-0.3605142167 1
 
1.0%
0.502799231 1
 
1.0%
-0.2503187117 1
 
1.0%
-1.142126543 1
 
1.0%
0.4321926515 1
 
1.0%
-0.5677550632 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.416451765 1
1.0%
-2.276912698 1
1.0%
-2.156980645 1
1.0%
-1.974137448 1
1.0%
-1.892184249 1
1.0%
ValueCountFrequency (%)
3.141966977 1
1.0%
2.468052182 1
1.0%
2.250454768 1
1.0%
2.246128966 1
1.0%
2.049178923 1
1.0%

monthCAP4RET
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1711371623
Minimum-3.388428083
Maximum2.629212631
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:54:49.542493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.388428083
5-th percentile-1.82836542
Q1-0.7648583986
median-0.1257750221
Q30.6359454313
95-th percentile1.529598052
Maximum2.629212631
Range6.017640714
Interquartile range (IQR)1.40080383

Descriptive statistics

Standard deviation1.093203821
Coefficient of variation (CV)-6.38788096
Kurtosis0.05086850231
Mean-0.1711371623
Median Absolute Deviation (MAD)0.7281298301
Skewness-0.1278773896
Sum-17.11371623
Variance1.195094594
MonotonicityNot monotonic
2025-03-29T15:54:49.666842image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.02243538 1
 
1.0%
2.629212631 1
 
1.0%
-0.06879084643 1
 
1.0%
-0.1080376998 1
 
1.0%
-3.388428083 1
 
1.0%
0.9507963003 1
 
1.0%
0.3515479588 1
 
1.0%
-0.7995389212 1
 
1.0%
0.9317760974 1
 
1.0%
-0.5162560159 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.388428083 1
1.0%
-2.468542916 1
1.0%
-2.335572724 1
1.0%
-2.29397634 1
1.0%
-1.951118475 1
1.0%
ValueCountFrequency (%)
2.629212631 1
1.0%
2.079945924 1
1.0%
1.893036414 1
1.0%
1.774212504 1
1.0%
1.689690413 1
1.0%

monthCAP5RET
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09542612882
Minimum-2.431713571
Maximum2.363633444
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)57.0%
Memory size928.0 B
2025-03-29T15:54:49.810702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.431713571
5-th percentile-1.665213929
Q1-0.7207843805
median-0.08124582188
Q30.470320072
95-th percentile1.260910609
Maximum2.363633444
Range4.795347015
Interquartile range (IQR)1.191104453

Descriptive statistics

Standard deviation0.9284556681
Coefficient of variation (CV)-9.729574903
Kurtosis0.3329069754
Mean-0.09542612882
Median Absolute Deviation (MAD)0.5939174045
Skewness-0.05310535939
Sum-9.542612882
Variance0.8620299275
MonotonicityNot monotonic
2025-03-29T15:54:49.933562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5928279374 1
 
1.0%
-1.778630833 1
 
1.0%
-0.8804619648 1
 
1.0%
-0.8613837024 1
 
1.0%
0.2457339829 1
 
1.0%
0.1740185566 1
 
1.0%
-0.8479798777 1
 
1.0%
0.02977926323 1
 
1.0%
-0.7174851861 1
 
1.0%
-0.1259389729 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.431713571 1
1.0%
-2.271885916 1
1.0%
-2.173821256 1
1.0%
-2.165645228 1
1.0%
-1.778630833 1
1.0%
ValueCountFrequency (%)
2.363633444 1
1.0%
2.218421424 1
1.0%
1.749241622 1
1.0%
1.714527068 1
1.0%
1.369440976 1
1.0%

monthCAP6RET
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06241510472
Minimum-2.806217109
Maximum2.62508634
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:54:50.079361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.806217109
5-th percentile-1.377867216
Q1-0.7161042664
median0.1579238911
Q30.7874755536
95-th percentile1.682296659
Maximum2.62508634
Range5.431303449
Interquartile range (IQR)1.50357982

Descriptive statistics

Standard deviation1.032685746
Coefficient of variation (CV)16.54544602
Kurtosis-0.04307306873
Mean0.06241510472
Median Absolute Deviation (MAD)0.7306480455
Skewness0.02840864028
Sum6.241510472
Variance1.066439849
MonotonicityNot monotonic
2025-03-29T15:54:50.216599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.241318998 1
 
1.0%
-0.3168217613 1
 
1.0%
-0.817425176 1
 
1.0%
0.4550927369 1
 
1.0%
-1.420984561 1
 
1.0%
1.090274506 1
 
1.0%
0.06559384568 1
 
1.0%
-0.3063534608 1
 
1.0%
-0.3388596701 1
 
1.0%
2.512407577 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.806217109 1
1.0%
-2.30410234 1
1.0%
-1.772610128 1
1.0%
-1.420984561 1
1.0%
-1.400205043 1
1.0%
ValueCountFrequency (%)
2.62508634 1
1.0%
2.512407577 1
1.0%
2.270865281 1
1.0%
1.792155911 1
1.0%
1.729891155 1
1.0%

monthCAP7RET
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003816747155
Minimum-2.759597399
Maximum2.355580259
Zeros0
Zeros (%)0.0%
Negative54
Negative (%)54.0%
Memory size928.0 B
2025-03-29T15:54:50.350166image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.759597399
5-th percentile-1.402604204
Q1-0.7021606553
median-0.1036584333
Q30.7890867373
95-th percentile1.642449553
Maximum2.355580259
Range5.115177658
Interquartile range (IQR)1.491247393

Descriptive statistics

Standard deviation1.012610575
Coefficient of variation (CV)265.3072194
Kurtosis-0.1508945908
Mean0.003816747155
Median Absolute Deviation (MAD)0.7128869092
Skewness0.06331616487
Sum0.3816747155
Variance1.025380176
MonotonicityNot monotonic
2025-03-29T15:54:50.499953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.693855763 1
 
1.0%
-0.8149639846 1
 
1.0%
0.3798678507 1
 
1.0%
1.582593965 1
 
1.0%
0.4594973061 1
 
1.0%
-0.9740362231 1
 
1.0%
0.808952899 1
 
1.0%
0.7954382527 1
 
1.0%
1.065860999 1
 
1.0%
0.1284517376 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.759597399 1
1.0%
-2.204037575 1
1.0%
-2.133133035 1
1.0%
-1.565671873 1
1.0%
-1.51613582 1
1.0%
ValueCountFrequency (%)
2.355580259 1
1.0%
2.173738373 1
1.0%
2.033305299 1
1.0%
2.018966111 1
1.0%
1.828593613 1
1.0%

monthCAP8RET
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1267528186
Minimum-1.626011092
Maximum2.543667895
Zeros0
Zeros (%)0.0%
Negative51
Negative (%)51.0%
Memory size928.0 B
2025-03-29T15:54:50.648678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.626011092
5-th percentile-1.213149842
Q1-0.5075389321
median-0.02870709863
Q30.7392083405
95-th percentile2.016977244
Maximum2.543667895
Range4.169678987
Interquartile range (IQR)1.246747273

Descriptive statistics

Standard deviation0.8965874908
Coefficient of variation (CV)7.073511271
Kurtosis-0.04135461131
Mean0.1267528186
Median Absolute Deviation (MAD)0.5588577997
Skewness0.5408011106
Sum12.67528186
Variance0.8038691287
MonotonicityNot monotonic
2025-03-29T15:54:50.766674image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.543667895 1
 
1.0%
-0.3036167053 1
 
1.0%
2.056852221 1
 
1.0%
1.0032132 1
 
1.0%
0.8847510548 1
 
1.0%
0.5408692225 1
 
1.0%
-0.06739123572 1
 
1.0%
-0.4056249912 1
 
1.0%
-0.01639877626 1
 
1.0%
-0.3776508613 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.626011092 1
1.0%
-1.327936514 1
1.0%
-1.313665309 1
1.0%
-1.257211275 1
1.0%
-1.225933365 1
1.0%
ValueCountFrequency (%)
2.543667895 1
1.0%
2.252886882 1
1.0%
2.234478901 1
1.0%
2.091284902 1
1.0%
2.056852221 1
1.0%

monthCAP9RET
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05773624321
Minimum-2.517433102
Maximum2.484467369
Zeros0
Zeros (%)0.0%
Negative51
Negative (%)51.0%
Memory size928.0 B
2025-03-29T15:54:50.908929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.517433102
5-th percentile-1.698527102
Q1-0.8379622114
median-0.04150438585
Q30.8243461725
95-th percentile1.508425816
Maximum2.484467369
Range5.001900471
Interquartile range (IQR)1.662308384

Descriptive statistics

Standard deviation1.096417025
Coefficient of variation (CV)-18.99009988
Kurtosis-0.4199885164
Mean-0.05773624321
Median Absolute Deviation (MAD)0.8545897487
Skewness-0.1278816182
Sum-5.773624321
Variance1.202130294
MonotonicityNot monotonic
2025-03-29T15:54:51.182945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.06322345648 1
 
1.0%
-0.8186166796 1
 
1.0%
0.9135947918 1
 
1.0%
0.2323602777 1
 
1.0%
1.326968531 1
 
1.0%
1.330183086 1
 
1.0%
1.505818288 1
 
1.0%
-0.5262945312 1
 
1.0%
-0.8961894623 1
 
1.0%
-1.674444264 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.517433102 1
1.0%
-2.501802861 1
1.0%
-2.452406923 1
1.0%
-2.384356675 1
1.0%
-2.156101031 1
1.0%
ValueCountFrequency (%)
2.484467369 1
1.0%
2.296443077 1
1.0%
1.709161233 1
1.0%
1.686639186 1
1.0%
1.557968849 1
1.0%

monthCAP10RET
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0960291838
Minimum-2.349528307
Maximum3.254647293
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:54:51.309453image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.349528307
5-th percentile-1.806068851
Q1-0.6823640817
median0.08699998355
Q30.8040421445
95-th percentile1.971287912
Maximum3.254647293
Range5.6041756
Interquartile range (IQR)1.486406226

Descriptive statistics

Standard deviation1.139617694
Coefficient of variation (CV)11.86740998
Kurtosis0.09419251497
Mean0.0960291838
Median Absolute Deviation (MAD)0.764517212
Skewness0.2196484098
Sum9.60291838
Variance1.298728488
MonotonicityNot monotonic
2025-03-29T15:54:51.450111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0782706638 1
 
1.0%
1.561906425 1
 
1.0%
-0.3466331835 1
 
1.0%
0.2172143096 1
 
1.0%
0.6537118803 1
 
1.0%
0.01878030432 1
 
1.0%
1.967898943 1
 
1.0%
-0.3616452777 1
 
1.0%
0.07567229405 1
 
1.0%
-0.6785293354 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.349528307 1
1.0%
-2.286717948 1
1.0%
-2.097895441 1
1.0%
-1.924811678 1
1.0%
-1.814873044 1
1.0%
ValueCountFrequency (%)
3.254647293 1
1.0%
3.08715515 1
1.0%
2.632924437 1
1.0%
2.110354368 1
1.0%
2.035678319 1
1.0%

monthtotval
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0924296922
Minimum-2.52348747
Maximum2.437769588
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:54:51.585940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.52348747
5-th percentile-1.541081553
Q1-0.5884019961
median0.1617595301
Q30.6727637057
95-th percentile1.729645313
Maximum2.437769588
Range4.961257058
Interquartile range (IQR)1.261165702

Descriptive statistics

Standard deviation0.9610206283
Coefficient of variation (CV)10.39731503
Kurtosis0.2134515661
Mean0.0924296922
Median Absolute Deviation (MAD)0.6534539284
Skewness-0.1086175278
Sum9.24296922
Variance0.923560648
MonotonicityNot monotonic
2025-03-29T15:54:51.731557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.425936581 1
 
1.0%
0.9302561562 1
 
1.0%
0.1896281233 1
 
1.0%
1.069608262 1
 
1.0%
0.1495974781 1
 
1.0%
-0.1694492375 1
 
1.0%
-0.1738866416 1
 
1.0%
0.479787443 1
 
1.0%
2.437769588 1
 
1.0%
-0.9670682435 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.52348747 1
1.0%
-2.425214278 1
1.0%
-1.855837771 1
1.0%
-1.738180472 1
1.0%
-1.592601084 1
1.0%
ValueCountFrequency (%)
2.437769588 1
1.0%
2.241134569 1
1.0%
2.052166148 1
1.0%
1.880435146 1
1.0%
1.80065863 1
1.0%

monthtotcnt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1755578099
Minimum-2.16471425
Maximum2.126435589
Zeros0
Zeros (%)0.0%
Negative41
Negative (%)41.0%
Memory size928.0 B
2025-03-29T15:54:51.866502image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.16471425
5-th percentile-1.242776858
Q1-0.4485218458
median0.1891018862
Q30.6967503996
95-th percentile1.776031954
Maximum2.126435589
Range4.291149839
Interquartile range (IQR)1.145272245

Descriptive statistics

Standard deviation0.9199414754
Coefficient of variation (CV)5.240105671
Kurtosis-0.200588076
Mean0.1755578099
Median Absolute Deviation (MAD)0.5830234676
Skewness-0.05398911013
Sum17.55578099
Variance0.8462923181
MonotonicityNot monotonic
2025-03-29T15:54:52.010398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.2863918735 1
 
1.0%
0.5662808797 1
 
1.0%
1.981579165 1
 
1.0%
0.8400098267 1
 
1.0%
0.4329766827 1
 
1.0%
2.126435589 1
 
1.0%
1.772791176 1
 
1.0%
0.8490854505 1
 
1.0%
-0.04270379472 1
 
1.0%
-0.7068571341 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.16471425 1
1.0%
-1.887824839 1
1.0%
-1.696179068 1
1.0%
-1.570993356 1
1.0%
-1.552377462 1
1.0%
ValueCountFrequency (%)
2.126435589 1
1.0%
1.991252602 1
1.0%
1.981579165 1
1.0%
1.964695048 1
1.0%
1.837606733 1
1.0%

monthusdval
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02166714944
Minimum-2.901523683
Maximum2.28894749
Zeros0
Zeros (%)0.0%
Negative47
Negative (%)47.0%
Memory size928.0 B
2025-03-29T15:54:52.150991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.901523683
5-th percentile-1.710684207
Q1-0.6166082044
median0.09993725764
Q30.6256537487
95-th percentile1.392555505
Maximum2.28894749
Range5.190471172
Interquartile range (IQR)1.242261953

Descriptive statistics

Standard deviation0.9918718147
Coefficient of variation (CV)45.77767914
Kurtosis0.2994393724
Mean0.02166714944
Median Absolute Deviation (MAD)0.5977405152
Skewness-0.3649764258
Sum2.166714944
Variance0.9838096968
MonotonicityNot monotonic
2025-03-29T15:54:52.282638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1076950056 1
 
1.0%
-0.2736960962 1
 
1.0%
-0.7616459061 1
 
1.0%
-1.824440887 1
 
1.0%
1.702055154 1
 
1.0%
0.4917963316 1
 
1.0%
-1.461556177 1
 
1.0%
-0.3645491465 1
 
1.0%
-0.8649506516 1
 
1.0%
0.4414214995 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.901523683 1
1.0%
-2.375666011 1
1.0%
-2.116663761 1
1.0%
-1.91616718 1
1.0%
-1.824440887 1
1.0%
ValueCountFrequency (%)
2.28894749 1
1.0%
2.278333029 1
1.0%
2.000367512 1
1.0%
1.702055154 1
1.0%
1.485868276 1
1.0%

monthusdcnt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06554184303
Minimum-2.43506369
Maximum2.923355617
Zeros0
Zeros (%)0.0%
Negative51
Negative (%)51.0%
Memory size928.0 B
2025-03-29T15:54:52.427793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.43506369
5-th percentile-1.974013912
Q1-0.7693592531
median-0.05419806105
Q30.6824639739
95-th percentile1.408712541
Maximum2.923355617
Range5.358419307
Interquartile range (IQR)1.451823227

Descriptive statistics

Standard deviation1.065290312
Coefficient of variation (CV)-16.25359103
Kurtosis0.03604712262
Mean-0.06554184303
Median Absolute Deviation (MAD)0.7428159488
Skewness-0.0754530922
Sum-6.554184303
Variance1.134843449
MonotonicityNot monotonic
2025-03-29T15:54:52.569012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3684836033 1
 
1.0%
1.842479045 1
 
1.0%
1.014918982 1
 
1.0%
-1.489150117 1
 
1.0%
1.011076458 1
 
1.0%
0.5800532484 1
 
1.0%
-0.302955538 1
 
1.0%
0.4205451092 1
 
1.0%
-1.948347259 1
 
1.0%
-0.1807604898 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.43506369 1
1.0%
-2.332837801 1
1.0%
-2.240673786 1
1.0%
-2.207563725 1
1.0%
-2.143367324 1
1.0%
ValueCountFrequency (%)
2.923355617 1
1.0%
2.422405539 1
1.0%
1.842479045 1
1.0%
1.813341205 1
1.0%
1.634134993 1
1.0%

monthprtcnt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2223477325
Minimum-2.819930932
Maximum3.260491081
Zeros0
Zeros (%)0.0%
Negative41
Negative (%)41.0%
Memory size928.0 B
2025-03-29T15:54:52.709465image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.819930932
5-th percentile-1.488085157
Q1-0.3954717905
median0.2732894325
Q30.8631872118
95-th percentile1.949504483
Maximum3.260491081
Range6.080422013
Interquartile range (IQR)1.258659002

Descriptive statistics

Standard deviation1.107630864
Coefficient of variation (CV)4.98152534
Kurtosis0.3641922893
Mean0.2223477325
Median Absolute Deviation (MAD)0.6645085778
Skewness-0.1255627575
Sum22.23477325
Variance1.22684613
MonotonicityNot monotonic
2025-03-29T15:54:52.852999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.473372504 1
 
1.0%
0.5124665162 1
 
1.0%
-1.131413611 1
 
1.0%
-1.478147088 1
 
1.0%
1.634195267 1
 
1.0%
1.595609823 1
 
1.0%
-0.3718731609 1
 
1.0%
-1.407123995 1
 
1.0%
0.697776901 1
 
1.0%
-0.2463097554 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.819930932 1
1.0%
-2.701835134 1
1.0%
-2.006130203 1
1.0%
-1.827474354 1
1.0%
-1.676908474 1
1.0%
ValueCountFrequency (%)
3.260491081 1
1.0%
2.523799791 1
1.0%
2.453903346 1
1.0%
2.155332748 1
1.0%
1.965341462 1
1.0%

monthtotret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08873263317
Minimum-2.430192127
Maximum2.236299621
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size928.0 B
2025-03-29T15:54:52.993868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.430192127
5-th percentile-1.989445321
Q1-0.5334192206
median0.06175737659
Q30.8210380646
95-th percentile1.629663278
Maximum2.236299621
Range4.666491748
Interquartile range (IQR)1.354457285

Descriptive statistics

Standard deviation1.037304217
Coefficient of variation (CV)11.69022241
Kurtosis-0.2051371815
Mean0.08873263317
Median Absolute Deviation (MAD)0.6901343749
Skewness-0.2589856882
Sum8.873263317
Variance1.076000038
MonotonicityNot monotonic
2025-03-29T15:54:53.132185image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3966300046 1
 
1.0%
0.03823343522 1
 
1.0%
1.384472438 1
 
1.0%
2.236299621 1
 
1.0%
-1.061781054 1
 
1.0%
-0.6178924687 1
 
1.0%
-0.517753345 1
 
1.0%
1.489749607 1
 
1.0%
0.7910697023 1
 
1.0%
0.3811480467 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.430192127 1
1.0%
-2.409474321 1
1.0%
-2.156600697 1
1.0%
-2.07407596 1
1.0%
-2.061325456 1
1.0%
ValueCountFrequency (%)
2.236299621 1
1.0%
1.931439151 1
1.0%
1.869615331 1
1.0%
1.833922652 1
1.0%
1.709386067 1
1.0%

monthtotind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1407321019
Minimum-2.913672442
Maximum3.121896897
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:54:53.265749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.913672442
5-th percentile-1.612345014
Q1-0.704278419
median0.2525934437
Q30.9187347758
95-th percentile1.760686551
Maximum3.121896897
Range6.035569339
Interquartile range (IQR)1.623013195

Descriptive statistics

Standard deviation1.134113388
Coefficient of variation (CV)8.058668723
Kurtosis-0.1767836898
Mean0.1407321019
Median Absolute Deviation (MAD)0.7954920778
Skewness-0.01056587599
Sum14.07321019
Variance1.286213177
MonotonicityNot monotonic
2025-03-29T15:54:53.401753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.044191089 1
 
1.0%
1.609074172 1
 
1.0%
0.7271657444 1
 
1.0%
1.319860671 1
 
1.0%
2.419791733 1
 
1.0%
1.630667777 1
 
1.0%
0.5433795689 1
 
1.0%
-0.08167103085 1
 
1.0%
-2.073746187 1
 
1.0%
-1.818240434 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.913672442 1
1.0%
-2.073746187 1
1.0%
-1.818240434 1
1.0%
-1.700209743 1
1.0%
-1.660482668 1
1.0%
ValueCountFrequency (%)
3.121896897 1
1.0%
2.7501072 1
1.0%
2.419791733 1
1.0%
1.989809104 1
1.0%
1.819639352 1
1.0%

monthcapret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001310020479
Minimum-2.928951365
Maximum2.449459799
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:54:53.665353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.928951365
5-th percentile-1.756080441
Q1-0.5671981038
median0.09411819761
Q30.6500956667
95-th percentile1.626344791
Maximum2.449459799
Range5.378411164
Interquartile range (IQR)1.21729377

Descriptive statistics

Standard deviation1.006367753
Coefficient of variation (CV)768.2076498
Kurtosis0.09768492487
Mean0.001310020479
Median Absolute Deviation (MAD)0.6173784666
Skewness-0.1908034302
Sum0.1310020479
Variance1.012776055
MonotonicityNot monotonic
2025-03-29T15:54:53.815525image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6694756251 1
 
1.0%
1.04090935 1
 
1.0%
0.6364095464 1
 
1.0%
-1.38818471 1
 
1.0%
-0.10641888 1
 
1.0%
0.1643183319 1
 
1.0%
0.1775713086 1
 
1.0%
-0.3798469289 1
 
1.0%
-0.8361778815 1
 
1.0%
0.1942028622 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.928951365 1
1.0%
-2.050348322 1
1.0%
-2.015205988 1
1.0%
-1.993218823 1
1.0%
-1.845579635 1
1.0%
ValueCountFrequency (%)
2.449459799 1
1.0%
2.220018734 1
1.0%
1.873917421 1
1.0%
1.651546269 1
1.0%
1.643690495 1
1.0%

monthcapind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1175902042
Minimum-2.043826295
Maximum2.529564505
Zeros0
Zeros (%)0.0%
Negative43
Negative (%)43.0%
Memory size928.0 B
2025-03-29T15:54:53.951028image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.043826295
5-th percentile-1.369830285
Q1-0.5235783514
median0.1249783167
Q30.7568016086
95-th percentile1.843147041
Maximum2.529564505
Range4.5733908
Interquartile range (IQR)1.28037996

Descriptive statistics

Standard deviation0.9646818005
Coefficient of variation (CV)8.203759886
Kurtosis-0.2297070971
Mean0.1175902042
Median Absolute Deviation (MAD)0.6526222528
Skewness0.03798609474
Sum11.75902042
Variance0.9306109763
MonotonicityNot monotonic
2025-03-29T15:54:54.081875image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1116023308 1
 
1.0%
-0.196327556 1
 
1.0%
0.8354340882 1
 
1.0%
-1.852327099 1
 
1.0%
-0.8769925945 1
 
1.0%
1.238237941 1
 
1.0%
0.8007480213 1
 
1.0%
-0.6929841973 1
 
1.0%
0.9322900851 1
 
1.0%
-2.043826295 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.043826295 1
1.0%
-2.039431498 1
1.0%
-1.852327099 1
1.0%
-1.668438754 1
1.0%
-1.665284667 1
1.0%
ValueCountFrequency (%)
2.529564505 1
1.0%
2.105834825 1
1.0%
1.887335899 1
1.0%
1.873020624 1
1.0%
1.852564729 1
1.0%

monthincret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03428258312
Minimum-2.194248244
Maximum1.942668124
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)52.0%
Memory size928.0 B
2025-03-29T15:54:54.224187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.194248244
5-th percentile-1.262979334
Q1-0.6498952827
median-0.09030829025
Q30.6491473026
95-th percentile1.532023097
Maximum1.942668124
Range4.136916368
Interquartile range (IQR)1.299042585

Descriptive statistics

Standard deviation0.8930819564
Coefficient of variation (CV)-26.05060282
Kurtosis-0.5103651843
Mean-0.03428258312
Median Absolute Deviation (MAD)0.6674815724
Skewness0.07427601161
Sum-3.428258312
Variance0.7975953808
MonotonicityNot monotonic
2025-03-29T15:54:54.367598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.130983473 1
 
1.0%
0.7012923268 1
 
1.0%
0.8538085623 1
 
1.0%
-1.313615146 1
 
1.0%
-0.1052369681 1
 
1.0%
0.8490109133 1
 
1.0%
-1.260314291 1
 
1.0%
-0.8802201908 1
 
1.0%
-0.9869253242 1
 
1.0%
0.79760285 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.194248244 1
1.0%
-2.060698515 1
1.0%
-1.6734848 1
1.0%
-1.434465342 1
1.0%
-1.313615146 1
1.0%
ValueCountFrequency (%)
1.942668124 1
1.0%
1.699494453 1
1.0%
1.660042489 1
1.0%
1.564619741 1
1.0%
1.534363533 1
1.0%

monthincind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08996285948
Minimum-2.256132307
Maximum1.896412406
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:54:54.498387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.256132307
5-th percentile-1.539134562
Q1-0.7147651041
median0.03320625834
Q30.4161716885
95-th percentile1.552262356
Maximum1.896412406
Range4.152544713
Interquartile range (IQR)1.130936793

Descriptive statistics

Standard deviation0.9324809879
Coefficient of variation (CV)-10.36517729
Kurtosis-0.2918937843
Mean-0.08996285948
Median Absolute Deviation (MAD)0.6221675759
Skewness-0.01797720014
Sum-8.996285948
Variance0.8695207928
MonotonicityNot monotonic
2025-03-29T15:54:54.631591image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.152031403 1
 
1.0%
-0.762282508 1
 
1.0%
-0.2923196493 1
 
1.0%
-0.1163230393 1
 
1.0%
0.1686913253 1
 
1.0%
0.4094505219 1
 
1.0%
0.6756969494 1
 
1.0%
-1.223982067 1
 
1.0%
-0.1797994452 1
 
1.0%
0.07623822768 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.256132307 1
1.0%
-2.115841565 1
1.0%
-2.049123886 1
1.0%
-1.761366777 1
1.0%
-1.602676145 1
1.0%
ValueCountFrequency (%)
1.896412406 1
1.0%
1.836674631 1
1.0%
1.822168949 1
1.0%
1.642276058 1
1.0%
1.590503345 1
1.0%

SPIndvwretd
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1131691914
Minimum-2.70348013
Maximum1.842903048
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)57.0%
Memory size928.0 B
2025-03-29T15:54:54.767096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.70348013
5-th percentile-1.473305123
Q1-0.7447932876
median-0.1326169348
Q30.4508438583
95-th percentile1.492037027
Maximum1.842903048
Range4.546383178
Interquartile range (IQR)1.195637146

Descriptive statistics

Standard deviation0.9378981005
Coefficient of variation (CV)-8.287574464
Kurtosis-0.19657075
Mean-0.1131691914
Median Absolute Deviation (MAD)0.6120408663
Skewness0.02161925346
Sum-11.31691914
Variance0.8796528469
MonotonicityNot monotonic
2025-03-29T15:54:54.931607image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3023113051 1
 
1.0%
0.4110266548 1
 
1.0%
-0.5039194714 1
 
1.0%
0.1417854205 1
 
1.0%
-0.2164280283 1
 
1.0%
-0.3709580196 1
 
1.0%
-1.067444346 1
 
1.0%
-0.6999917936 1
 
1.0%
-0.3089075316 1
 
1.0%
-1.161932492 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.70348013 1
1.0%
-2.337754833 1
1.0%
-1.736816409 1
1.0%
-1.721972964 1
1.0%
-1.567707794 1
1.0%
ValueCountFrequency (%)
1.842903048 1
1.0%
1.767829058 1
1.0%
1.685665425 1
1.0%
1.578783577 1
1.0%
1.564269519 1
1.0%

SPIndvwretx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01846189663
Minimum-3.239437725
Maximum2.49681784
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:54:55.073291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.239437725
5-th percentile-1.703700534
Q1-0.6673397525
median0.119734768
Q30.6159153868
95-th percentile1.566817206
Maximum2.49681784
Range5.736255565
Interquartile range (IQR)1.283255139

Descriptive statistics

Standard deviation1.092568897
Coefficient of variation (CV)-59.17966711
Kurtosis0.9718427497
Mean-0.01846189663
Median Absolute Deviation (MAD)0.529103414
Skewness-0.4397304954
Sum-1.846189663
Variance1.193706794
MonotonicityNot monotonic
2025-03-29T15:54:55.207998image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7368017053 1
 
1.0%
-0.1272580199 1
 
1.0%
-0.1322430541 1
 
1.0%
0.1331069025 1
 
1.0%
0.311215898 1
 
1.0%
0.376321777 1
 
1.0%
-2.106762091 1
 
1.0%
0.716798798 1
 
1.0%
1.281659217 1
 
1.0%
0.3854325717 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.239437725 1
1.0%
-3.187811476 1
1.0%
-2.953075101 1
1.0%
-2.106762091 1
1.0%
-2.06469749 1
1.0%
ValueCountFrequency (%)
2.49681784 1
1.0%
2.293977283 1
1.0%
2.26571269 1
1.0%
2.226018886 1
1.0%
2.081269629 1
1.0%

SPIndewretd
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1016352786
Minimum-2.274886764
Maximum1.727303925
Zeros0
Zeros (%)0.0%
Negative55
Negative (%)55.0%
Memory size928.0 B
2025-03-29T15:54:55.348030image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.274886764
5-th percentile-1.813838934
Q1-0.7553540264
median-0.06988058752
Q30.7107484686
95-th percentile1.436501877
Maximum1.727303925
Range4.002190689
Interquartile range (IQR)1.466102495

Descriptive statistics

Standard deviation0.9664958552
Coefficient of variation (CV)-9.509452512
Kurtosis-0.5377704593
Mean-0.1016352786
Median Absolute Deviation (MAD)0.7394129478
Skewness-0.2064437999
Sum-10.16352786
Variance0.9341142382
MonotonicityNot monotonic
2025-03-29T15:54:55.496984image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4437355149 1
 
1.0%
0.4967755738 1
 
1.0%
-0.06337316763 1
 
1.0%
-0.8062181668 1
 
1.0%
-0.5214856454 1
 
1.0%
1.066683109 1
 
1.0%
-1.75975922 1
 
1.0%
0.7708472774 1
 
1.0%
0.2495845618 1
 
1.0%
1.434132723 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.274886764 1
1.0%
-2.264514979 1
1.0%
-2.006778688 1
1.0%
-1.996276265 1
1.0%
-1.951607194 1
1.0%
ValueCountFrequency (%)
1.727303925 1
1.0%
1.690009934 1
1.0%
1.513344502 1
1.0%
1.50064979 1
1.0%
1.481515793 1
1.0%

SPIndewretx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09795567918
Minimum-2.649099543
Maximum2.750723031
Zeros0
Zeros (%)0.0%
Negative55
Negative (%)55.0%
Memory size928.0 B
2025-03-29T15:54:55.643235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.649099543
5-th percentile-1.864252139
Q1-0.7782406397
median-0.1292880809
Q30.6998799079
95-th percentile1.545508238
Maximum2.750723031
Range5.399822574
Interquartile range (IQR)1.478120548

Descriptive statistics

Standard deviation1.088066276
Coefficient of variation (CV)-11.10774061
Kurtosis-0.3077142829
Mean-0.09795567918
Median Absolute Deviation (MAD)0.7520983321
Skewness0.008103182256
Sum-9.795567918
Variance1.18388822
MonotonicityNot monotonic
2025-03-29T15:54:55.781201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2725158258 1
 
1.0%
0.81354804 1
 
1.0%
-0.3223585508 1
 
1.0%
-0.5150082764 1
 
1.0%
2.750723031 1
 
1.0%
1.055544602 1
 
1.0%
-1.392389528 1
 
1.0%
-0.1163906629 1
 
1.0%
0.5750330351 1
 
1.0%
-0.3438821948 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.649099543 1
1.0%
-2.434176386 1
1.0%
-2.064885462 1
1.0%
-1.976000448 1
1.0%
-1.949231283 1
1.0%
ValueCountFrequency (%)
2.750723031 1
1.0%
2.361611444 1
1.0%
1.781536682 1
1.0%
1.693550791 1
1.0%
1.618381329 1
1.0%

SPIndtotval
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002270126176
Minimum-2.28971555
Maximum2.077677133
Zeros0
Zeros (%)0.0%
Negative55
Negative (%)55.0%
Memory size928.0 B
2025-03-29T15:54:55.931293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.28971555
5-th percentile-1.371029689
Q1-0.6701961989
median-0.1720899242
Q30.7437082018
95-th percentile1.540224126
Maximum2.077677133
Range4.367392683
Interquartile range (IQR)1.413904401

Descriptive statistics

Standard deviation0.9569506507
Coefficient of variation (CV)-421.5407324
Kurtosis-0.6717558909
Mean-0.002270126176
Median Absolute Deviation (MAD)0.7312607055
Skewness0.1693168406
Sum-0.2270126176
Variance0.915754548
MonotonicityNot monotonic
2025-03-29T15:54:56.067880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4040586175 1
 
1.0%
-0.36935311 1
 
1.0%
-1.034136999 1
 
1.0%
0.2056298147 1
 
1.0%
-0.3113514268 1
 
1.0%
-0.6788617935 1
 
1.0%
-0.1982138984 1
 
1.0%
-0.3146908937 1
 
1.0%
-0.1731531018 1
 
1.0%
0.8362229368 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.28971555 1
1.0%
-1.754085563 1
1.0%
-1.708185069 1
1.0%
-1.534480131 1
1.0%
-1.406999578 1
1.0%
ValueCountFrequency (%)
2.077677133 1
1.0%
2.011825996 1
1.0%
1.758417857 1
1.0%
1.658485042 1
1.0%
1.63058197 1
1.0%

SPIndtotcnt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1454878516
Minimum-1.928730023
Maximum2.503796227
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:54:56.207529image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.928730023
5-th percentile-1.230182627
Q1-0.3961474021
median0.1553418295
Q30.7080229665
95-th percentile1.47434971
Maximum2.503796227
Range4.43252625
Interquartile range (IQR)1.104170369

Descriptive statistics

Standard deviation0.8590776464
Coefficient of variation (CV)5.904806736
Kurtosis-0.1628093598
Mean0.1454878516
Median Absolute Deviation (MAD)0.5533093344
Skewness0.01505995265
Sum14.54878516
Variance0.7380144026
MonotonicityNot monotonic
2025-03-29T15:54:56.481014image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9159853559 1
 
1.0%
0.08405843584 1
 
1.0%
-1.059950079 1
 
1.0%
-0.8017050426 1
 
1.0%
0.718274407 1
 
1.0%
-1.139691705 1
 
1.0%
-0.1518533617 1
 
1.0%
-0.3943272992 1
 
1.0%
-0.2399982176 1
 
1.0%
0.4367435408 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.928730023 1
1.0%
-1.739387611 1
1.0%
-1.588947283 1
1.0%
-1.420195617 1
1.0%
-1.362911413 1
1.0%
ValueCountFrequency (%)
2.503796227 1
1.0%
1.926207563 1
1.0%
1.694511762 1
1.0%
1.659095521 1
1.0%
1.480108792 1
1.0%

SPIndusdval
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04200912549
Minimum-2.412113905
Maximum2.884232277
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size928.0 B
2025-03-29T15:54:56.625736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.412113905
5-th percentile-1.349829348
Q1-0.5907425431
median0.07472893254
Q30.7114151106
95-th percentile1.288290493
Maximum2.884232277
Range5.296346182
Interquartile range (IQR)1.302157654

Descriptive statistics

Standard deviation0.9448523456
Coefficient of variation (CV)22.49159759
Kurtosis0.6727252829
Mean0.04200912549
Median Absolute Deviation (MAD)0.6709880229
Skewness0.1704309866
Sum4.200912549
Variance0.892745955
MonotonicityNot monotonic
2025-03-29T15:54:56.764367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.851881892 1
 
1.0%
0.2093904667 1
 
1.0%
0.04145712113 1
 
1.0%
-0.5481139482 1
 
1.0%
0.03477596879 1
 
1.0%
-0.09490656927 1
 
1.0%
0.4303484419 1
 
1.0%
0.3114675633 1
 
1.0%
0.568709016 1
 
1.0%
0.9607021407 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.412113905 1
1.0%
-2.273950209 1
1.0%
-1.716541888 1
1.0%
-1.699497429 1
1.0%
-1.552513992 1
1.0%
ValueCountFrequency (%)
2.884232277 1
1.0%
2.648143986 1
1.0%
2.13496294 1
1.0%
1.851881892 1
1.0%
1.662010396 1
1.0%

SPIndusdcnt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08702143691
Minimum-2.377875535
Maximum2.489461081
Zeros0
Zeros (%)0.0%
Negative43
Negative (%)43.0%
Memory size928.0 B
2025-03-29T15:54:56.918669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.377875535
5-th percentile-1.754943164
Q1-0.7357971725
median0.1992392079
Q30.7873737991
95-th percentile1.876292632
Maximum2.489461081
Range4.867336616
Interquartile range (IQR)1.523170972

Descriptive statistics

Standard deviation1.117222335
Coefficient of variation (CV)12.83847262
Kurtosis-0.3624637059
Mean0.08702143691
Median Absolute Deviation (MAD)0.7557747596
Skewness-0.166135553
Sum8.702143691
Variance1.248185747
MonotonicityNot monotonic
2025-03-29T15:54:57.047460image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9089598292 1
 
1.0%
0.6917210807 1
 
1.0%
-0.3800985635 1
 
1.0%
-1.315167742 1
 
1.0%
-2.344970383 1
 
1.0%
0.3330120471 1
 
1.0%
-2.298367038 1
 
1.0%
-2.201666137 1
 
1.0%
0.6157788491 1
 
1.0%
-0.8884632024 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.377875535 1
1.0%
-2.344970383 1
1.0%
-2.333347842 1
1.0%
-2.298367038 1
1.0%
-2.201666137 1
1.0%
ValueCountFrequency (%)
2.489461081 1
1.0%
2.380190139 1
1.0%
2.100978773 1
1.0%
1.921167621 1
1.0%
1.889994897 1
1.0%

SPIndspindx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1731913612
Minimum-1.812334584
Maximum3.657701804
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:54:57.190704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.812334584
5-th percentile-1.47287046
Q1-0.5694217425
median0.02153112617
Q30.7582259459
95-th percentile2.089997351
Maximum3.657701804
Range5.470036388
Interquartile range (IQR)1.327647688

Descriptive statistics

Standard deviation1.047129567
Coefficient of variation (CV)6.046084283
Kurtosis0.378514628
Mean0.1731913612
Median Absolute Deviation (MAD)0.629871372
Skewness0.5707529392
Sum17.31913612
Variance1.09648033
MonotonicityNot monotonic
2025-03-29T15:54:57.325622image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.000710121566 1
 
1.0%
1.094339786 1
 
1.0%
1.396930939 1
 
1.0%
2.112345888 1
 
1.0%
-0.5779853864 1
 
1.0%
-1.02294552 1
 
1.0%
1.084429577 1
 
1.0%
0.3617857623 1
 
1.0%
3.657701804 1
 
1.0%
-0.6407317478 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.812334584 1
1.0%
-1.749988549 1
1.0%
-1.663753195 1
1.0%
-1.583649825 1
1.0%
-1.506873319 1
1.0%
ValueCountFrequency (%)
3.657701804 1
1.0%
2.524396538 1
1.0%
2.258827122 1
1.0%
2.112345888 1
1.0%
2.102436677 1
1.0%

SPIndsprtrn
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1332811901
Minimum-2.635967868
Maximum1.750610751
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:54:57.464330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.635967868
5-th percentile-1.530303777
Q1-0.7059792177
median-0.0884334304
Q30.4495036183
95-th percentile1.213919352
Maximum1.750610751
Range4.386578619
Interquartile range (IQR)1.155482836

Descriptive statistics

Standard deviation0.895983155
Coefficient of variation (CV)-6.722502661
Kurtosis-0.1764144716
Mean-0.1332811901
Median Absolute Deviation (MAD)0.6062910032
Skewness-0.2648712524
Sum-13.32811901
Variance0.802785814
MonotonicityNot monotonic
2025-03-29T15:54:57.580301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6949659913 1
 
1.0%
0.323698442 1
 
1.0%
0.1410074797 1
 
1.0%
-1.826660017 1
 
1.0%
1.060592336 1
 
1.0%
0.1860133782 1
 
1.0%
0.4127827528 1
 
1.0%
-0.2881721462 1
 
1.0%
-1.548457457 1
 
1.0%
1.211668486 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.635967868 1
1.0%
-2.423046499 1
1.0%
-1.904738879 1
1.0%
-1.826660017 1
1.0%
-1.548457457 1
1.0%
ValueCountFrequency (%)
1.750610751 1
1.0%
1.670991715 1
1.0%
1.320847906 1
1.0%
1.290213812 1
1.0%
1.256685806 1
1.0%

SPporvwretd
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05754810502
Minimum-2.556317867
Maximum2.571070157
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)52.0%
Memory size928.0 B
2025-03-29T15:54:57.713682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.556317867
5-th percentile-1.61688344
Q1-0.7678138288
median-0.07051587422
Q30.655976623
95-th percentile1.506079043
Maximum2.571070157
Range5.127388024
Interquartile range (IQR)1.423790452

Descriptive statistics

Standard deviation1.02523407
Coefficient of variation (CV)-17.81525334
Kurtosis-0.1824831278
Mean-0.05754810502
Median Absolute Deviation (MAD)0.7152314914
Skewness-0.04292264283
Sum-5.754810502
Variance1.051104899
MonotonicityNot monotonic
2025-03-29T15:54:57.863786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9753802352 1
 
1.0%
1.05618414 1
 
1.0%
1.088696559 1
 
1.0%
-0.8232050973 1
 
1.0%
1.440585081 1
 
1.0%
0.03850364563 1
 
1.0%
0.537517383 1
 
1.0%
-1.535018763 1
 
1.0%
-0.400193501 1
 
1.0%
-0.2061848006 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.556317867 1
1.0%
-2.549423056 1
1.0%
-2.170861571 1
1.0%
-1.867344569 1
1.0%
-1.709309695 1
1.0%
ValueCountFrequency (%)
2.571070157 1
1.0%
2.049574929 1
1.0%
1.82995967 1
1.0%
1.785871124 1
1.0%
1.665309046 1
1.0%

SPporvwretx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04970477196
Minimum-2.149313551
Maximum2.185779812
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size928.0 B
2025-03-29T15:54:57.997158image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.149313551
5-th percentile-1.571595849
Q1-0.4708532345
median0.05331177226
Q30.5790406288
95-th percentile1.444697754
Maximum2.185779812
Range4.335093363
Interquartile range (IQR)1.049893863

Descriptive statistics

Standard deviation0.8780133283
Coefficient of variation (CV)17.66456808
Kurtosis-0.06953432223
Mean0.04970477196
Median Absolute Deviation (MAD)0.5254135848
Skewness0.005824000597
Sum4.970477196
Variance0.7709074048
MonotonicityNot monotonic
2025-03-29T15:54:58.140009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.141628864 1
 
1.0%
-0.2982594873 1
 
1.0%
0.06740588684 1
 
1.0%
1.442005798 1
 
1.0%
-0.177663256 1
 
1.0%
-0.06236933944 1
 
1.0%
0.3452017772 1
 
1.0%
0.311201314 1
 
1.0%
0.3861546882 1
 
1.0%
-0.8427966022 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.149313551 1
1.0%
-1.744242127 1
1.0%
-1.707174726 1
1.0%
-1.630681781 1
1.0%
-1.584283893 1
1.0%
ValueCountFrequency (%)
2.185779812 1
1.0%
1.928373566 1
1.0%
1.823491469 1
1.0%
1.818010999 1
1.0%
1.495844918 1
1.0%

SPporewretd
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07258654163
Minimum-2.269373929
Maximum2.631440405
Zeros0
Zeros (%)0.0%
Negative59
Negative (%)59.0%
Memory size928.0 B
2025-03-29T15:54:58.280477image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.269373929
5-th percentile-1.536774519
Q1-0.7666246943
median-0.1648741457
Q30.5473264781
95-th percentile1.79240227
Maximum2.631440405
Range4.900814335
Interquartile range (IQR)1.313951172

Descriptive statistics

Standard deviation1.012275828
Coefficient of variation (CV)-13.94577846
Kurtosis-0.01614408491
Mean-0.07258654163
Median Absolute Deviation (MAD)0.6468582821
Skewness0.3724126662
Sum-7.258654163
Variance1.024702353
MonotonicityNot monotonic
2025-03-29T15:54:58.416874image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.958654768 1
 
1.0%
0.1473512731 1
 
1.0%
-0.8497413322 1
 
1.0%
0.3451511498 1
 
1.0%
-0.1922176003 1
 
1.0%
0.4057191964 1
 
1.0%
-0.4444990282 1
 
1.0%
-0.04768313524 1
 
1.0%
1.74737636 1
 
1.0%
-0.45116322 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.269373929 1
1.0%
-2.105111188 1
1.0%
-1.803966641 1
1.0%
-1.800700318 1
1.0%
-1.720610992 1
1.0%
ValueCountFrequency (%)
2.631440405 1
1.0%
2.498867386 1
1.0%
2.022923289 1
1.0%
1.958654768 1
1.0%
1.814009181 1
1.0%

SPporewretx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2285235072
Minimum-1.653582116
Maximum2.76613992
Zeros0
Zeros (%)0.0%
Negative42
Negative (%)42.0%
Memory size928.0 B
2025-03-29T15:54:58.547097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.653582116
5-th percentile-1.364978872
Q1-0.353747016
median0.2664443919
Q30.9818987516
95-th percentile1.732568941
Maximum2.76613992
Range4.419722035
Interquartile range (IQR)1.335645768

Descriptive statistics

Standard deviation0.9476509851
Coefficient of variation (CV)4.14684247
Kurtosis-0.2811437643
Mean0.2285235072
Median Absolute Deviation (MAD)0.6710651118
Skewness0.1005189046
Sum22.85235072
Variance0.8980423895
MonotonicityNot monotonic
2025-03-29T15:54:58.680151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.063247004 1
 
1.0%
-0.6052415099 1
 
1.0%
0.8240984567 1
 
1.0%
2.514438637 1
 
1.0%
1.302946489 1
 
1.0%
1.624839045 1
 
1.0%
1.802660951 1
 
1.0%
0.1145287958 1
 
1.0%
0.0642308337 1
 
1.0%
-0.2328180822 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.653582116 1
1.0%
-1.529832908 1
1.0%
-1.509774293 1
1.0%
-1.468867565 1
1.0%
-1.392276181 1
1.0%
ValueCountFrequency (%)
2.76613992 1
1.0%
2.514438637 1
1.0%
2.063247004 1
1.0%
1.929330787 1
1.0%
1.802660951 1
1.0%

SPportotval
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2096335941
Minimum-2.93616203
Maximum2.692378588
Zeros0
Zeros (%)0.0%
Negative60
Negative (%)60.0%
Memory size928.0 B
2025-03-29T15:54:58.796734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.93616203
5-th percentile-1.850158716
Q1-0.7535755716
median-0.173865448
Q30.4800568556
95-th percentile1.046783678
Maximum2.692378588
Range5.628540618
Interquartile range (IQR)1.233632427

Descriptive statistics

Standard deviation0.9633211001
Coefficient of variation (CV)-4.5952611
Kurtosis0.9386109706
Mean-0.2096335941
Median Absolute Deviation (MAD)0.6131499358
Skewness-0.07447256148
Sum-20.96335941
Variance0.9279875418
MonotonicityNot monotonic
2025-03-29T15:54:59.091325image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.144040126 1
 
1.0%
-0.5256533741 1
 
1.0%
-2.93616203 1
 
1.0%
-0.6116996611 1
 
1.0%
0.3203685643 1
 
1.0%
0.2844917859 1
 
1.0%
-0.7347062559 1
 
1.0%
-0.9026039869 1
 
1.0%
0.7216965184 1
 
1.0%
-1.06406051 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.93616203 1
1.0%
-2.774220176 1
1.0%
-2.222440775 1
1.0%
-2.144040126 1
1.0%
-1.879096183 1
1.0%
ValueCountFrequency (%)
2.692378588 1
1.0%
2.293211006 1
1.0%
1.911662406 1
1.0%
1.275977296 1
1.0%
1.089009325 1
1.0%

SPportotcnt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1411041886
Minimum-3.006244428
Maximum1.837238393
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:54:59.228871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.006244428
5-th percentile-1.938350603
Q1-0.7137828284
median-0.08519537748
Q30.5294283391
95-th percentile1.467078516
Maximum1.837238393
Range4.843482821
Interquartile range (IQR)1.243211167

Descriptive statistics

Standard deviation1.003189273
Coefficient of variation (CV)-7.1095641
Kurtosis0.4993668966
Mean-0.1411041886
Median Absolute Deviation (MAD)0.6200531118
Skewness-0.503614429
Sum-14.11041886
Variance1.006388718
MonotonicityNot monotonic
2025-03-29T15:54:59.368711image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1603164288 1
 
1.0%
0.1302666189 1
 
1.0%
-0.5185516072 1
 
1.0%
0.689003144 1
 
1.0%
1.466824416 1
 
1.0%
0.7942566782 1
 
1.0%
-0.7049379142 1
 
1.0%
-0.3989210292 1
 
1.0%
0.3664986659 1
 
1.0%
-2.901138782 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.006244428 1
1.0%
-2.901138782 1
1.0%
-2.643516256 1
1.0%
-2.61929895 1
1.0%
-2.015183664 1
1.0%
ValueCountFrequency (%)
1.837238393 1
1.0%
1.728681576 1
1.0%
1.693937067 1
1.0%
1.65144983 1
1.0%
1.471906399 1
1.0%

SPporusdval
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02323262232
Minimum-2.214173733
Maximum1.33626536
Zeros0
Zeros (%)0.0%
Negative44
Negative (%)44.0%
Memory size928.0 B
2025-03-29T15:54:59.513045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.214173733
5-th percentile-1.534421562
Q1-0.5566591231
median0.1123545116
Q30.5343869262
95-th percentile1.211164186
Maximum1.33626536
Range3.550439094
Interquartile range (IQR)1.091046049

Descriptive statistics

Standard deviation0.8096828525
Coefficient of variation (CV)-34.8511176
Kurtosis-0.1147960796
Mean-0.02323262232
Median Absolute Deviation (MAD)0.5449557414
Skewness-0.4812988801
Sum-2.323262232
Variance0.6555863216
MonotonicityNot monotonic
2025-03-29T15:54:59.663034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3978520078 1
 
1.0%
1.110173941 1
 
1.0%
0.1101653487 1
 
1.0%
0.4369610754 1
 
1.0%
-0.8047849782 1
 
1.0%
-0.1003717723 1
 
1.0%
0.1807742387 1
 
1.0%
0.1145436744 1
 
1.0%
-1.040463771 1
 
1.0%
-0.8829952235 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.214173733 1
1.0%
-2.183348918 1
1.0%
-1.783221481 1
1.0%
-1.702481802 1
1.0%
-1.570812033 1
1.0%
ValueCountFrequency (%)
1.33626536 1
1.0%
1.321311715 1
1.0%
1.275093022 1
1.0%
1.259347128 1
1.0%
1.234247815 1
1.0%

SPporusdcnt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0671062851
Minimum-3.047777312
Maximum2.391554821
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:54:59.811981image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.047777312
5-th percentile-1.584195258
Q1-0.919659494
median-0.02657596816
Q30.5683145441
95-th percentile1.935573492
Maximum2.391554821
Range5.439332133
Interquartile range (IQR)1.487974038

Descriptive statistics

Standard deviation1.064462237
Coefficient of variation (CV)-15.86233295
Kurtosis0.03811066285
Mean-0.0671062851
Median Absolute Deviation (MAD)0.7603489772
Skewness0.1667233392
Sum-6.71062851
Variance1.133079854
MonotonicityNot monotonic
2025-03-29T15:54:59.960496image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.138209048 1
 
1.0%
0.2493655911 1
 
1.0%
-0.9774746369 1
 
1.0%
0.5190622236 1
 
1.0%
-0.4785383004 1
 
1.0%
0.3213763191 1
 
1.0%
2.353092449 1
 
1.0%
-2.054440222 1
 
1.0%
0.9693817869 1
 
1.0%
1.397035385 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.047777312 1
1.0%
-2.054440222 1
1.0%
-1.869165761 1
1.0%
-1.845008006 1
1.0%
-1.60334591 1
1.0%
ValueCountFrequency (%)
2.391554821 1
1.0%
2.379009013 1
1.0%
2.353092449 1
1.0%
2.138209048 1
1.0%
2.020359535 1
1.0%

SPporspindx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1473917643
Minimum-3.708796609
Maximum1.990676017
Zeros0
Zeros (%)0.0%
Negative54
Negative (%)54.0%
Memory size928.0 B
2025-03-29T15:55:00.095951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.708796609
5-th percentile-1.746251715
Q1-0.8532864834
median-0.1054175371
Q30.6652327322
95-th percentile1.307125695
Maximum1.990676017
Range5.699472627
Interquartile range (IQR)1.518519216

Descriptive statistics

Standard deviation1.015257021
Coefficient of variation (CV)-6.888152979
Kurtosis0.645534705
Mean-0.1473917643
Median Absolute Deviation (MAD)0.7532206813
Skewness-0.4327023211
Sum-14.73917643
Variance1.030746818
MonotonicityNot monotonic
2025-03-29T15:55:00.233574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05354063062 1
 
1.0%
0.3272892693 1
 
1.0%
-0.8555192046 1
 
1.0%
1.061924785 1
 
1.0%
0.07288153297 1
 
1.0%
-0.8525422431 1
 
1.0%
-2.101704328 1
 
1.0%
-1.006166912 1
 
1.0%
0.01481923156 1
 
1.0%
-0.7297752832 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.708796609 1
1.0%
-2.66365414 1
1.0%
-2.101704328 1
1.0%
-2.039095513 1
1.0%
-1.838612776 1
1.0%
ValueCountFrequency (%)
1.990676017 1
1.0%
1.762990315 1
1.0%
1.754811876 1
1.0%
1.449156603 1
1.0%
1.385789422 1
1.0%

SPporsprtrn
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1342640232
Minimum-2.117008052
Maximum2.004228774
Zeros0
Zeros (%)0.0%
Negative41
Negative (%)41.0%
Memory size928.0 B
2025-03-29T15:55:00.379713image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.117008052
5-th percentile-1.245745157
Q1-0.5263703417
median0.2170073781
Q30.7291077947
95-th percentile1.491459491
Maximum2.004228774
Range4.121236826
Interquartile range (IQR)1.255478136

Descriptive statistics

Standard deviation0.8681882212
Coefficient of variation (CV)6.46627593
Kurtosis-0.3895782748
Mean0.1342640232
Median Absolute Deviation (MAD)0.5956197164
Skewness-0.1419469557
Sum13.42640232
Variance0.7537507874
MonotonicityNot monotonic
2025-03-29T15:55:00.512961image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.229052448 1
 
1.0%
-0.1094545988 1
 
1.0%
-0.7184313326 1
 
1.0%
-1.671856613 1
 
1.0%
0.02068850787 1
 
1.0%
-0.4340118126 1
 
1.0%
0.302358693 1
 
1.0%
0.1053390448 1
 
1.0%
1.341749484 1
 
1.0%
0.3761775513 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.117008052 1
1.0%
-1.673452341 1
1.0%
-1.671856613 1
1.0%
-1.457624487 1
1.0%
-1.363356258 1
1.0%
ValueCountFrequency (%)
2.004228774 1
1.0%
1.885382316 1
1.0%
1.731924682 1
1.0%
1.638046945 1
1.0%
1.501390107 1
1.0%

usind2CRSPMEV1
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06264205838
Minimum-2.102901731
Maximum2.5323876
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:55:00.645954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.102901731
5-th percentile-1.739025944
Q1-0.5488237554
median0.09613382946
Q30.7836193435
95-th percentile1.527576168
Maximum2.5323876
Range4.635289331
Interquartile range (IQR)1.332443099

Descriptive statistics

Standard deviation0.9964373626
Coefficient of variation (CV)15.9068426
Kurtosis-0.4182596466
Mean0.06264205838
Median Absolute Deviation (MAD)0.6695561857
Skewness-0.1622035812
Sum6.264205838
Variance0.9928874176
MonotonicityNot monotonic
2025-03-29T15:55:00.792681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.113458008 1
 
1.0%
1.386540135 1
 
1.0%
0.535850335 1
 
1.0%
-0.3998229407 1
 
1.0%
-0.6606413829 1
 
1.0%
-0.2210655366 1
 
1.0%
0.9036856418 1
 
1.0%
0.9260762336 1
 
1.0%
0.2729161143 1
 
1.0%
0.6317180319 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.102901731 1
1.0%
-1.933637041 1
1.0%
-1.877223927 1
1.0%
-1.753491357 1
1.0%
-1.750407735 1
1.0%
ValueCountFrequency (%)
2.5323876 1
1.0%
2.052841613 1
1.0%
1.896037495 1
1.0%
1.658170207 1
1.0%
1.630734955 1
1.0%

usind2CRSPMEG1
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03488033971
Minimum-2.884154436
Maximum2.840886393
Zeros0
Zeros (%)0.0%
Negative47
Negative (%)47.0%
Memory size928.0 B
2025-03-29T15:55:00.912586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.884154436
5-th percentile-2.003739757
Q1-0.8521403773
median0.0706742657
Q30.8849423135
95-th percentile2.017864374
Maximum2.840886393
Range5.725040829
Interquartile range (IQR)1.737082691

Descriptive statistics

Standard deviation1.201123989
Coefficient of variation (CV)34.43555881
Kurtosis-0.3870262122
Mean0.03488033971
Median Absolute Deviation (MAD)0.860475042
Skewness-0.04139857032
Sum3.488033971
Variance1.442698838
MonotonicityNot monotonic
2025-03-29T15:55:01.062554image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.009830076 1
 
1.0%
0.7131281077 1
 
1.0%
-1.381384875 1
 
1.0%
-2.033940617 1
 
1.0%
-0.3084693332 1
 
1.0%
-1.348951734 1
 
1.0%
-0.9486019052 1
 
1.0%
0.8984186716 1
 
1.0%
-0.8936145017 1
 
1.0%
-0.005391499727 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.884154436 1
1.0%
-2.589063935 1
1.0%
-2.424250324 1
1.0%
-2.033940617 1
1.0%
-2.01069391 1
1.0%
ValueCountFrequency (%)
2.840886393 1
1.0%
2.406223923 1
1.0%
2.233193847 1
1.0%
2.122026046 1
1.0%
2.062212524 1
1.0%

usind2CRSPLCV1
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00116875301
Minimum-2.130233596
Maximum2.727359702
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:01.206769image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.130233596
5-th percentile-1.633384934
Q1-0.6492289977
median0.06026124512
Q30.5927296735
95-th percentile1.373963929
Maximum2.727359702
Range4.857593298
Interquartile range (IQR)1.241958671

Descriptive statistics

Standard deviation0.9773314696
Coefficient of variation (CV)836.2172857
Kurtosis0.03009068375
Mean0.00116875301
Median Absolute Deviation (MAD)0.6696522259
Skewness0.1067690013
Sum0.116875301
Variance0.9551768015
MonotonicityNot monotonic
2025-03-29T15:55:01.345668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.038158107 1
 
1.0%
0.152049331 1
 
1.0%
0.4211732266 1
 
1.0%
1.249530724 1
 
1.0%
-1.844576231 1
 
1.0%
0.09830770839 1
 
1.0%
0.6868621273 1
 
1.0%
-1.462033517 1
 
1.0%
2.727359702 1
 
1.0%
0.9174898958 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.130233596 1
1.0%
-1.844576231 1
1.0%
-1.821920549 1
1.0%
-1.735053605 1
1.0%
-1.699418945 1
1.0%
ValueCountFrequency (%)
2.727359702 1
1.0%
2.569506152 1
1.0%
2.163100943 1
1.0%
1.462485708 1
1.0%
1.455260494 1
1.0%

usind2CRSPLCG1
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1017592323
Minimum-2.537597876
Maximum2.131770082
Zeros0
Zeros (%)0.0%
Negative44
Negative (%)44.0%
Memory size928.0 B
2025-03-29T15:55:01.479011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.537597876
5-th percentile-1.332592176
Q1-0.7060135186
median0.1037547219
Q30.8857244648
95-th percentile1.635243536
Maximum2.131770082
Range4.669367958
Interquartile range (IQR)1.591737983

Descriptive statistics

Standard deviation0.9881951337
Coefficient of variation (CV)9.711110345
Kurtosis-0.5547156637
Mean0.1017592323
Median Absolute Deviation (MAD)0.8027932059
Skewness-0.07145607491
Sum10.17592323
Variance0.9765296223
MonotonicityNot monotonic
2025-03-29T15:55:01.762412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03933912678 1
 
1.0%
1.229050306 1
 
1.0%
-0.2042193678 1
 
1.0%
2.00290734 1
 
1.0%
1.40892156 1
 
1.0%
0.1373255759 1
 
1.0%
1.630923138 1
 
1.0%
-0.1057878756 1
 
1.0%
-0.08631634544 1
 
1.0%
1.259479712 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.537597876 1
1.0%
-2.071879524 1
1.0%
-1.605957248 1
1.0%
-1.574297349 1
1.0%
-1.333473827 1
1.0%
ValueCountFrequency (%)
2.131770082 1
1.0%
2.00290734 1
1.0%
1.885476721 1
1.0%
1.733762692 1
1.0%
1.717331114 1
1.0%

usind2CRSPMIV1
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1019376897
Minimum-2.263728609
Maximum2.060581153
Zeros0
Zeros (%)0.0%
Negative56
Negative (%)56.0%
Memory size928.0 B
2025-03-29T15:55:01.904521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.263728609
5-th percentile-1.747130919
Q1-0.8049827896
median-0.1780504272
Q30.7513237795
95-th percentile1.383289661
Maximum2.060581153
Range4.324309762
Interquartile range (IQR)1.556306569

Descriptive statistics

Standard deviation1.001369531
Coefficient of variation (CV)-9.823349286
Kurtosis-0.6271215786
Mean-0.1019376897
Median Absolute Deviation (MAD)0.761679994
Skewness-0.05015389575
Sum-10.19376897
Variance1.002740937
MonotonicityNot monotonic
2025-03-29T15:55:02.040678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.235293324 1
 
1.0%
-0.6783622461 1
 
1.0%
-0.322181371 1
 
1.0%
0.1769461849 1
 
1.0%
1.612996717 1
 
1.0%
-0.7900759536 1
 
1.0%
-0.4274229082 1
 
1.0%
0.8059150285 1
 
1.0%
-0.8497032976 1
 
1.0%
0.750251446 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.263728609 1
1.0%
-2.119639475 1
1.0%
-2.016384987 1
1.0%
-2.012621917 1
1.0%
-1.889704643 1
1.0%
ValueCountFrequency (%)
2.060581153 1
1.0%
1.867389902 1
1.0%
1.793949331 1
1.0%
1.612996717 1
1.0%
1.553958909 1
1.0%

usind2CRSPMIG1
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05191789171
Minimum-2.864709892
Maximum2.597517126
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:55:02.177609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.864709892
5-th percentile-1.603533867
Q1-0.7970781377
median-0.06035752314
Q30.650854081
95-th percentile2.051070458
Maximum2.597517126
Range5.462227018
Interquartile range (IQR)1.447932219

Descriptive statistics

Standard deviation1.05754174
Coefficient of variation (CV)-20.36950471
Kurtosis0.3557849896
Mean-0.05191789171
Median Absolute Deviation (MAD)0.7314604549
Skewness0.2209970951
Sum-5.191789171
Variance1.118394531
MonotonicityNot monotonic
2025-03-29T15:55:02.312294image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7829891743 1
 
1.0%
-1.303724631 1
 
1.0%
0.1306739391 1
 
1.0%
-0.2369682756 1
 
1.0%
1.005402775 1
 
1.0%
-0.9242207173 1
 
1.0%
0.09439856348 1
 
1.0%
-2.009734465 1
 
1.0%
1.24051608 1
 
1.0%
0.3263965555 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.864709892 1
1.0%
-2.322181344 1
1.0%
-2.252817059 1
1.0%
-2.009734465 1
1.0%
-1.888372465 1
1.0%
ValueCountFrequency (%)
2.597517126 1
1.0%
2.54346266 1
1.0%
2.502962576 1
1.0%
2.100048159 1
1.0%
2.097410068 1
1.0%

usind2CRSPSCV1
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05471954771
Minimum-2.855989243
Maximum1.889634426
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size928.0 B
2025-03-29T15:55:02.457245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.855989243
5-th percentile-1.891989804
Q1-0.6946461687
median0.07000956618
Q30.5868096702
95-th percentile1.493228165
Maximum1.889634426
Range4.745623668
Interquartile range (IQR)1.281455839

Descriptive statistics

Standard deviation0.9921110225
Coefficient of variation (CV)-18.13083375
Kurtosis0.02423403732
Mean-0.05471954771
Median Absolute Deviation (MAD)0.7228588374
Skewness-0.4008277296
Sum-5.471954771
Variance0.9842842809
MonotonicityNot monotonic
2025-03-29T15:55:02.595348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1499186535 1
 
1.0%
-0.099467105 1
 
1.0%
1.189332834 1
 
1.0%
0.5142570786 1
 
1.0%
-0.0873293644 1
 
1.0%
0.2697307072 1
 
1.0%
0.7551611351 1
 
1.0%
0.2922766416 1
 
1.0%
1.782004587 1
 
1.0%
1.094399797 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.855989243 1
1.0%
-2.488576523 1
1.0%
-2.305279548 1
1.0%
-1.987975667 1
1.0%
-1.903320477 1
1.0%
ValueCountFrequency (%)
1.889634426 1
1.0%
1.782004587 1
1.0%
1.65017026 1
1.0%
1.625875306 1
1.0%
1.532365331 1
1.0%

usind2CRSPSCG1
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1210340921
Minimum-2.210740166
Maximum3.599466781
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:55:02.732155image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.210740166
5-th percentile-1.188794409
Q1-0.787936267
median0.08578192194
Q30.6948733203
95-th percentile2.00065987
Maximum3.599466781
Range5.810206947
Interquartile range (IQR)1.482809587

Descriptive statistics

Standard deviation1.04666554
Coefficient of variation (CV)8.647691919
Kurtosis0.3941549159
Mean0.1210340921
Median Absolute Deviation (MAD)0.6807083628
Skewness0.5584455284
Sum12.10340921
Variance1.095508752
MonotonicityNot monotonic
2025-03-29T15:55:02.878560image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.493474213 1
 
1.0%
3.599466781 1
 
1.0%
0.7515196737 1
 
1.0%
-0.4153215223 1
 
1.0%
-1.127804871 1
 
1.0%
1.085898383 1
 
1.0%
-2.210740166 1
 
1.0%
0.2473520175 1
 
1.0%
-0.8479530566 1
 
1.0%
-0.13679824 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.210740166 1
1.0%
-1.709399324 1
1.0%
-1.466686413 1
1.0%
-1.288228656 1
1.0%
-1.244628467 1
1.0%
ValueCountFrequency (%)
3.599466781 1
1.0%
2.657003821 1
1.0%
2.118975147 1
1.0%
2.095648217 1
1.0%
2.00954591 1
1.0%

usind2CRSPMEVT
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00334688819
Minimum-3.064456869
Maximum2.5073319
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:55:03.044898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.064456869
5-th percentile-1.579653975
Q1-0.6549137525
median0.1064242553
Q30.6845886538
95-th percentile1.575295357
Maximum2.5073319
Range5.571788768
Interquartile range (IQR)1.339502406

Descriptive statistics

Standard deviation1.00455837
Coefficient of variation (CV)300.1469761
Kurtosis0.4754959174
Mean0.00334688819
Median Absolute Deviation (MAD)0.6529492735
Skewness-0.2007459594
Sum0.334688819
Variance1.009137518
MonotonicityNot monotonic
2025-03-29T15:55:03.215637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1206040073 1
 
1.0%
0.2319131826 1
 
1.0%
-0.2471177937 1
 
1.0%
-1.575404686 1
 
1.0%
1.440321773 1
 
1.0%
-0.4350517324 1
 
1.0%
-0.3804924356 1
 
1.0%
0.6871672785 1
 
1.0%
0.3789806905 1
 
1.0%
0.3836491449 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.064456869 1
1.0%
-2.56880088 1
1.0%
-1.989922967 1
1.0%
-1.668002706 1
1.0%
-1.660390467 1
1.0%
ValueCountFrequency (%)
2.5073319 1
1.0%
2.305163859 1
1.0%
1.960743953 1
1.0%
1.95921036 1
1.0%
1.695479629 1
1.0%

usind2CRSPMEGT
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1425874699
Minimum-1.581817415
Maximum2.10036328
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:55:03.378794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.581817415
5-th percentile-1.023307409
Q1-0.5288106005
median0.1171419714
Q30.7244161419
95-th percentile1.471609228
Maximum2.10036328
Range3.682180695
Interquartile range (IQR)1.253226742

Descriptive statistics

Standard deviation0.825918053
Coefficient of variation (CV)5.792360671
Kurtosis-0.6236097969
Mean0.1425874699
Median Absolute Deviation (MAD)0.6370282453
Skewness0.2227049118
Sum14.25874699
Variance0.6821406302
MonotonicityNot monotonic
2025-03-29T15:55:03.561676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7627316471 1
 
1.0%
0.7171645277 1
 
1.0%
0.3308793214 1
 
1.0%
0.008576002002 1
 
1.0%
0.5287625272 1
 
1.0%
-0.6495556999 1
 
1.0%
1.175023582 1
 
1.0%
-0.2968725794 1
 
1.0%
-1.213958118 1
 
1.0%
1.133334788 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.581817415 1
1.0%
-1.310618181 1
1.0%
-1.213958118 1
1.0%
-1.114625403 1
1.0%
-1.057322603 1
1.0%
ValueCountFrequency (%)
2.10036328 1
1.0%
1.980103054 1
1.0%
1.88105469 1
1.0%
1.715266042 1
1.0%
1.606427098 1
1.0%

usind2CRSPLCVT
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1237002958
Minimum-2.144487504
Maximum2.756639477
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:55:03.749823image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.144487504
5-th percentile-1.476892639
Q1-0.5769544255
median0.1158319039
Q30.7188734794
95-th percentile1.97207845
Maximum2.756639477
Range4.901126981
Interquartile range (IQR)1.295827905

Descriptive statistics

Standard deviation1.035422549
Coefficient of variation (CV)8.370412877
Kurtosis0.01154025471
Mean0.1237002958
Median Absolute Deviation (MAD)0.6528299764
Skewness0.2688550809
Sum12.37002958
Variance1.072099855
MonotonicityNot monotonic
2025-03-29T15:55:03.889080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3536705843 1
 
1.0%
-1.038090517 1
 
1.0%
0.5684807718 1
 
1.0%
-0.9848377281 1
 
1.0%
0.5151898642 1
 
1.0%
0.1173763632 1
 
1.0%
-0.6724175107 1
 
1.0%
-1.471373848 1
 
1.0%
0.003375974892 1
 
1.0%
2.027581973 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.144487504 1
1.0%
-2.075834397 1
1.0%
-2.032388813 1
1.0%
-1.698269672 1
1.0%
-1.529222515 1
1.0%
ValueCountFrequency (%)
2.756639477 1
1.0%
2.708461585 1
1.0%
2.381445388 1
1.0%
2.075570362 1
1.0%
2.027581973 1
1.0%

usind2CRSPLCGT
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0419189689
Minimum-1.913116164
Maximum2.850777424
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)57.0%
Memory size928.0 B
2025-03-29T15:55:04.027643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.913116164
5-th percentile-1.491103726
Q1-0.7777656819
median-0.1701300083
Q30.601894467
95-th percentile1.593890316
Maximum2.850777424
Range4.763893588
Interquartile range (IQR)1.379660149

Descriptive statistics

Standard deviation0.9870888947
Coefficient of variation (CV)-23.5475471
Kurtosis-0.1727200606
Mean-0.0419189689
Median Absolute Deviation (MAD)0.6610574296
Skewness0.4417585149
Sum-4.19189689
Variance0.9743444861
MonotonicityNot monotonic
2025-03-29T15:55:04.161361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9848778493 1
 
1.0%
0.7614192924 1
 
1.0%
1.591725852 1
 
1.0%
0.9656053488 1
 
1.0%
1.635015121 1
 
1.0%
-0.4768188244 1
 
1.0%
1.047684061 1
 
1.0%
0.579866839 1
 
1.0%
-1.023552287 1
 
1.0%
-1.116298635 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.913116164 1
1.0%
-1.770726958 1
1.0%
-1.704052917 1
1.0%
-1.688564965 1
1.0%
-1.623684745 1
1.0%
ValueCountFrequency (%)
2.850777424 1
1.0%
2.17954264 1
1.0%
2.078414239 1
1.0%
1.864370557 1
1.0%
1.635015121 1
1.0%

usind2CRSPMIVT
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006465783661
Minimum-2.46852468
Maximum1.831555067
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size928.0 B
2025-03-29T15:55:04.305832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.46852468
5-th percentile-1.399039798
Q1-0.6219404188
median0.1075587263
Q30.6807207996
95-th percentile1.362913858
Maximum1.831555067
Range4.300079747
Interquartile range (IQR)1.302661218

Descriptive statistics

Standard deviation0.90718948
Coefficient of variation (CV)140.3061914
Kurtosis-0.3447161556
Mean0.006465783661
Median Absolute Deviation (MAD)0.6412177928
Skewness-0.2759409319
Sum0.6465783661
Variance0.8229927526
MonotonicityNot monotonic
2025-03-29T15:55:04.444422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2304954051 1
 
1.0%
1.357821575 1
 
1.0%
-0.1534563499 1
 
1.0%
-0.9747411863 1
 
1.0%
-0.2464617919 1
 
1.0%
1.831555067 1
 
1.0%
0.8318881937 1
 
1.0%
-0.6219225113 1
 
1.0%
-0.4476171561 1
 
1.0%
0.274743473 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.46852468 1
1.0%
-1.991887265 1
1.0%
-1.953771981 1
1.0%
-1.765710187 1
1.0%
-1.744947687 1
1.0%
ValueCountFrequency (%)
1.831555067 1
1.0%
1.680923699 1
1.0%
1.640147226 1
1.0%
1.587094159 1
1.0%
1.459667233 1
1.0%

usind2CRSPMIGT
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0895593243
Minimum-2.466216789
Maximum2.684656339
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:55:04.714270image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.466216789
5-th percentile-1.33248395
Q1-0.6312402032
median-0.06824881734
Q30.7458841058
95-th percentile1.78599802
Maximum2.684656339
Range5.150873128
Interquartile range (IQR)1.377124309

Descriptive statistics

Standard deviation1.002953984
Coefficient of variation (CV)11.19876676
Kurtosis0.1110585662
Mean0.0895593243
Median Absolute Deviation (MAD)0.6476001782
Skewness0.3028543443
Sum8.95593243
Variance1.005916695
MonotonicityNot monotonic
2025-03-29T15:55:04.854636image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1265595598 1
 
1.0%
-0.001339277286 1
 
1.0%
-0.7249332014 1
 
1.0%
-0.625211029 1
 
1.0%
1.212737514 1
 
1.0%
1.533003951 1
 
1.0%
-0.06968116288 1
 
1.0%
1.800079952 1
 
1.0%
2.657511109 1
 
1.0%
-0.7343131377 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.466216789 1
1.0%
-2.067314887 1
1.0%
-1.537953927 1
1.0%
-1.501530523 1
1.0%
-1.442482926 1
1.0%
ValueCountFrequency (%)
2.684656339 1
1.0%
2.657511109 1
1.0%
2.639308869 1
1.0%
1.801798725 1
1.0%
1.800079952 1
1.0%

usind2CRSPSCVT
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.006919043439
Minimum-2.307531518
Maximum2.173165664
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size928.0 B
2025-03-29T15:55:04.994172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.307531518
5-th percentile-1.739230147
Q1-0.5580957356
median-2.925210014 × 10-5
Q30.6556456425
95-th percentile1.401502139
Maximum2.173165664
Range4.480697182
Interquartile range (IQR)1.213741378

Descriptive statistics

Standard deviation0.9484502363
Coefficient of variation (CV)-137.0782312
Kurtosis-0.2040500009
Mean-0.006919043439
Median Absolute Deviation (MAD)0.645586874
Skewness-0.2662726059
Sum-0.6919043439
Variance0.8995578508
MonotonicityNot monotonic
2025-03-29T15:55:05.127327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4987263001 1
 
1.0%
-0.9961463041 1
 
1.0%
-2.032320924 1
 
1.0%
0.5568494019 1
 
1.0%
-0.1976482836 1
 
1.0%
-0.7022554489 1
 
1.0%
0.3675303688 1
 
1.0%
0.9460377467 1
 
1.0%
0.01172285794 1
 
1.0%
0.04891258239 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.307531518 1
1.0%
-2.05919951 1
1.0%
-2.032320924 1
1.0%
-2.010633474 1
1.0%
-1.993269051 1
1.0%
ValueCountFrequency (%)
2.173165664 1
1.0%
1.906130736 1
1.0%
1.646850087 1
1.0%
1.518877689 1
1.0%
1.495507469 1
1.0%

usind2CRSPSCGT
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03131455465
Minimum-2.704789798
Maximum2.357091831
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size928.0 B
2025-03-29T15:55:05.260962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.704789798
5-th percentile-1.866507135
Q1-0.6367133261
median0.07136866575
Q30.7037101843
95-th percentile1.401482789
Maximum2.357091831
Range5.061881629
Interquartile range (IQR)1.34042351

Descriptive statistics

Standard deviation0.9965479604
Coefficient of variation (CV)-31.82379476
Kurtosis0.07054796995
Mean-0.03131455465
Median Absolute Deviation (MAD)0.6833479804
Skewness-0.3439639683
Sum-3.131455465
Variance0.9931078374
MonotonicityNot monotonic
2025-03-29T15:55:05.394007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.457921024 1
 
1.0%
-1.539371986 1
 
1.0%
0.473180495 1
 
1.0%
-0.4082070282 1
 
1.0%
0.6334657904 1
 
1.0%
-0.8010931756 1
 
1.0%
0.8033097564 1
 
1.0%
1.360390395 1
 
1.0%
-0.302489857 1
 
1.0%
0.541355431 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.704789798 1
1.0%
-2.461472114 1
1.0%
-2.301975426 1
1.0%
-2.125094901 1
1.0%
-1.927169123 1
1.0%
ValueCountFrequency (%)
2.357091831 1
1.0%
2.013295407 1
1.0%
1.600123686 1
1.0%
1.584766234 1
1.0%
1.457921024 1
1.0%

stockvwretd
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1143873262
Minimum-2.591541257
Maximum2.221355582
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)57.0%
Memory size928.0 B
2025-03-29T15:55:05.524789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.591541257
5-th percentile-1.700998955
Q1-0.831499794
median-0.08060601776
Q30.6034740152
95-th percentile1.50155539
Maximum2.221355582
Range4.812896839
Interquartile range (IQR)1.434973809

Descriptive statistics

Standard deviation0.9891724196
Coefficient of variation (CV)-8.647570081
Kurtosis-0.4963624056
Mean-0.1143873262
Median Absolute Deviation (MAD)0.7337552551
Skewness0.04712273712
Sum-11.43873262
Variance0.9784620756
MonotonicityNot monotonic
2025-03-29T15:55:05.653138image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.8090585295 1
 
1.0%
-0.4402758996 1
 
1.0%
1.497296167 1
 
1.0%
0.6410602694 1
 
1.0%
-0.43946827 1
 
1.0%
-0.8196640162 1
 
1.0%
1.418208489 1
 
1.0%
0.1807398874 1
 
1.0%
-0.4868808212 1
 
1.0%
0.3710741743 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.591541257 1
1.0%
-1.972721528 1
1.0%
-1.838452991 1
1.0%
-1.824537568 1
1.0%
-1.704702627 1
1.0%
ValueCountFrequency (%)
2.221355582 1
1.0%
1.893475058 1
1.0%
1.800401117 1
1.0%
1.709451837 1
1.0%
1.582480629 1
1.0%

stockvwretx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1312287131
Minimum-2.779706886
Maximum2.981793494
Zeros0
Zeros (%)0.0%
Negative47
Negative (%)47.0%
Memory size928.0 B
2025-03-29T15:55:05.785938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.779706886
5-th percentile-1.59548312
Q1-0.5282802381
median0.03837164076
Q30.817149742
95-th percentile1.626980078
Maximum2.981793494
Range5.76150038
Interquartile range (IQR)1.34542998

Descriptive statistics

Standard deviation1.079934446
Coefficient of variation (CV)8.229406665
Kurtosis0.2996686892
Mean0.1312287131
Median Absolute Deviation (MAD)0.7446823229
Skewness0.02235176215
Sum13.12287131
Variance1.166258409
MonotonicityNot monotonic
2025-03-29T15:55:05.921324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4621907158 1
 
1.0%
0.5233674077 1
 
1.0%
1.122892123 1
 
1.0%
1.508063646 1
 
1.0%
0.9391168196 1
 
1.0%
1.060328069 1
 
1.0%
0.9484666803 1
 
1.0%
0.535472887 1
 
1.0%
-0.2662933694 1
 
1.0%
0.4418011277 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.779706886 1
1.0%
-2.245229791 1
1.0%
-2.086751789 1
1.0%
-1.684461567 1
1.0%
-1.59849612 1
1.0%
ValueCountFrequency (%)
2.981793494 1
1.0%
2.96086969 1
1.0%
2.586057917 1
1.0%
2.268061332 1
1.0%
1.809560757 1
1.0%

stockvwTotVal
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1138060335
Minimum-2.172576981
Maximum2.329253124
Zeros0
Zeros (%)0.0%
Negative55
Negative (%)55.0%
Memory size928.0 B
2025-03-29T15:55:06.057215image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.172576981
5-th percentile-1.571055649
Q1-0.7569091531
median-0.07491663383
Q30.5396046998
95-th percentile1.592770256
Maximum2.329253124
Range4.501830105
Interquartile range (IQR)1.296513853

Descriptive statistics

Standard deviation0.9448534116
Coefficient of variation (CV)-8.302313881
Kurtosis-0.3453967118
Mean-0.1138060335
Median Absolute Deviation (MAD)0.6578666211
Skewness0.1795157606
Sum-11.38060335
Variance0.8927479695
MonotonicityNot monotonic
2025-03-29T15:55:06.196985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5360180748 1
 
1.0%
0.1259961543 1
 
1.0%
0.02357624443 1
 
1.0%
-0.1937473009 1
 
1.0%
-0.9873106755 1
 
1.0%
-1.343968982 1
 
1.0%
0.6404125685 1
 
1.0%
0.6083432987 1
 
1.0%
-1.024838163 1
 
1.0%
-1.112435175 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.172576981 1
1.0%
-1.920931836 1
1.0%
-1.81663557 1
1.0%
-1.682586887 1
1.0%
-1.616284404 1
1.0%
ValueCountFrequency (%)
2.329253124 1
1.0%
1.868744763 1
1.0%
1.846865915 1
1.0%
1.630901276 1
1.0%
1.595693733 1
1.0%

stockvwUsdVal
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02448139896
Minimum-2.389180696
Maximum2.117923601
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:55:06.338280image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.389180696
5-th percentile-1.623956543
Q1-0.652025052
median0.04926021588
Q30.7853879573
95-th percentile1.571323406
Maximum2.117923601
Range4.507104297
Interquartile range (IQR)1.437413009

Descriptive statistics

Standard deviation1.03990465
Coefficient of variation (CV)42.47733767
Kurtosis-0.5649052704
Mean0.02448139896
Median Absolute Deviation (MAD)0.7253295822
Skewness-0.1282901455
Sum2.448139896
Variance1.081401682
MonotonicityNot monotonic
2025-03-29T15:55:06.476067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4026346315 1
 
1.0%
1.397294061 1
 
1.0%
1.361707114 1
 
1.0%
1.021383139 1
 
1.0%
-0.5258822577 1
 
1.0%
-0.7434224851 1
 
1.0%
1.559048579 1
 
1.0%
-1.534630751 1
 
1.0%
0.5328082865 1
 
1.0%
1.920874419 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.389180696 1
1.0%
-2.198560739 1
1.0%
-2.082053002 1
1.0%
-2.014893405 1
1.0%
-1.932497725 1
1.0%
ValueCountFrequency (%)
2.117923601 1
1.0%
1.970137982 1
1.0%
1.920874419 1
1.0%
1.874376497 1
1.0%
1.804545118 1
1.0%

stockvwTotCnt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1556472551
Minimum-2.814714699
Maximum3.09482912
Zeros0
Zeros (%)0.0%
Negative39
Negative (%)39.0%
Memory size928.0 B
2025-03-29T15:55:06.597642image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.814714699
5-th percentile-1.721615363
Q1-0.4616127208
median0.2055917075
Q30.8576581558
95-th percentile1.663541912
Maximum3.09482912
Range5.90954382
Interquartile range (IQR)1.319270877

Descriptive statistics

Standard deviation1.052185514
Coefficient of variation (CV)6.760064696
Kurtosis0.1310267324
Mean0.1556472551
Median Absolute Deviation (MAD)0.6541846549
Skewness-0.2720450202
Sum15.56472551
Variance1.107094356
MonotonicityNot monotonic
2025-03-29T15:55:06.742730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.038328985 1
 
1.0%
-0.09972510304 1
 
1.0%
-1.097069839 1
 
1.0%
-0.5248145089 1
 
1.0%
1.552668444 1
 
1.0%
0.1297482052 1
 
1.0%
1.35720255 1
 
1.0%
0.08492916224 1
 
1.0%
-0.1028514241 1
 
1.0%
0.8640127755 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.814714699 1
1.0%
-2.036542373 1
1.0%
-1.874890597 1
1.0%
-1.837088637 1
1.0%
-1.805840036 1
1.0%
ValueCountFrequency (%)
3.09482912 1
1.0%
2.05572133 1
1.0%
2.038328985 1
1.0%
1.80356134 1
1.0%
1.785900047 1
1.0%

stockvwUsdCnt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0202000926
Minimum-2.6885253
Maximum3.55561713
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)52.0%
Memory size928.0 B
2025-03-29T15:55:06.877005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.6885253
5-th percentile-1.651246846
Q1-0.6981208805
median-0.06805377741
Q30.6279857349
95-th percentile1.650919182
Maximum3.55561713
Range6.244142429
Interquartile range (IQR)1.326106615

Descriptive statistics

Standard deviation1.079103395
Coefficient of variation (CV)-53.42071527
Kurtosis0.5262224981
Mean-0.0202000926
Median Absolute Deviation (MAD)0.6972092517
Skewness0.2101968486
Sum-2.02000926
Variance1.164464137
MonotonicityNot monotonic
2025-03-29T15:55:07.010273image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1211488251 1
 
1.0%
1.70633062 1
 
1.0%
1.291678361 1
 
1.0%
-0.1944795935 1
 
1.0%
-0.7966208798 1
 
1.0%
-1.546307579 1
 
1.0%
2.202170467 1
 
1.0%
0.5354487951 1
 
1.0%
-0.6730924392 1
 
1.0%
0.7711128068 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.6885253 1
1.0%
-2.54524955 1
1.0%
-1.909871573 1
1.0%
-1.76216565 1
1.0%
-1.724096362 1
1.0%
ValueCountFrequency (%)
3.55561713 1
1.0%
2.250775104 1
1.0%
2.202170467 1
1.0%
1.985637686 1
1.0%
1.70633062 1
1.0%

stockewretd
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1632301209
Minimum-2.053384384
Maximum2.614798935
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:55:07.296722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.053384384
5-th percentile-1.398985213
Q1-0.7307049168
median0.1042386385
Q30.8271454298
95-th percentile1.934656402
Maximum2.614798935
Range4.668183319
Interquartile range (IQR)1.557850347

Descriptive statistics

Standard deviation1.037164734
Coefficient of variation (CV)6.354003343
Kurtosis-0.5474769595
Mean0.1632301209
Median Absolute Deviation (MAD)0.8044984047
Skewness0.1599359463
Sum16.32301209
Variance1.075710686
MonotonicityNot monotonic
2025-03-29T15:55:07.443176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7069197859 1
 
1.0%
0.5489445178 1
 
1.0%
0.2584257708 1
 
1.0%
0.942019157 1
 
1.0%
-0.6583732136 1
 
1.0%
-1.399177581 1
 
1.0%
1.01869085 1
 
1.0%
-0.07392991673 1
 
1.0%
-1.047623698 1
 
1.0%
1.300791899 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.053384384 1
1.0%
-1.87872396 1
1.0%
-1.630821407 1
1.0%
-1.51092773 1
1.0%
-1.399177581 1
1.0%
ValueCountFrequency (%)
2.614798935 1
1.0%
2.469407414 1
1.0%
2.243591724 1
1.0%
2.049268108 1
1.0%
1.935247403 1
1.0%

stockewretx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09010940354
Minimum-2.827101441
Maximum2.037545625
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size928.0 B
2025-03-29T15:55:07.580406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.827101441
5-th percentile-1.676602511
Q1-0.6245341643
median-0.0009090877956
Q30.54604732
95-th percentile1.357548472
Maximum2.037545625
Range4.864647066
Interquartile range (IQR)1.170581484

Descriptive statistics

Standard deviation0.9493327716
Coefficient of variation (CV)-10.53533521
Kurtosis-0.05719961735
Mean-0.09010940354
Median Absolute Deviation (MAD)0.600231059
Skewness-0.2164389565
Sum-9.010940354
Variance0.9012327112
MonotonicityNot monotonic
2025-03-29T15:55:07.721536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5046946897 1
 
1.0%
0.96706557 1
 
1.0%
-0.6809698594 1
 
1.0%
-0.2038346138 1
 
1.0%
1.652615061 1
 
1.0%
-1.177112244 1
 
1.0%
-1.67457632 1
 
1.0%
0.8533934389 1
 
1.0%
-0.9310705763 1
 
1.0%
1.144263166 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.827101441 1
1.0%
-2.216821504 1
1.0%
-1.982116749 1
1.0%
-1.921756049 1
1.0%
-1.715100143 1
1.0%
ValueCountFrequency (%)
2.037545625 1
1.0%
1.733934807 1
1.0%
1.652615061 1
1.0%
1.565689617 1
1.0%
1.413549405 1
1.0%

stockewTotVal
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1393750858
Minimum-2.238288341
Maximum1.9748008
Zeros0
Zeros (%)0.0%
Negative60
Negative (%)60.0%
Memory size928.0 B
2025-03-29T15:55:07.890720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.238288341
5-th percentile-1.646899409
Q1-0.7719597863
median-0.2350863098
Q30.5968243453
95-th percentile1.33791022
Maximum1.9748008
Range4.213089141
Interquartile range (IQR)1.368784132

Descriptive statistics

Standard deviation0.9508678927
Coefficient of variation (CV)-6.822366329
Kurtosis-0.6608391325
Mean-0.1393750858
Median Absolute Deviation (MAD)0.6892425129
Skewness0.04970017762
Sum-13.93750858
Variance0.9041497494
MonotonicityNot monotonic
2025-03-29T15:55:08.026678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7064056244 1
 
1.0%
0.4741829811 1
 
1.0%
1.13850364 1
 
1.0%
-0.1028746461 1
 
1.0%
-0.4550466207 1
 
1.0%
-0.617179146 1
 
1.0%
-0.1544418693 1
 
1.0%
-2.238288341 1
 
1.0%
0.7011091248 1
 
1.0%
-0.662676301 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.238288341 1
1.0%
-2.188043004 1
1.0%
-2.034895483 1
1.0%
-1.796858521 1
1.0%
-1.683152806 1
1.0%
ValueCountFrequency (%)
1.9748008 1
1.0%
1.634666553 1
1.0%
1.543838307 1
1.0%
1.492561158 1
1.0%
1.351838236 1
1.0%

stockewUsdVal
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07191131291
Minimum-2.851907841
Maximum3.093429531
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size928.0 B
2025-03-29T15:55:08.159900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.851907841
5-th percentile-1.750227813
Q1-0.6280520615
median0.04172368913
Q30.8876361252
95-th percentile1.780130941
Maximum3.093429531
Range5.945337371
Interquartile range (IQR)1.515688187

Descriptive statistics

Standard deviation1.099239871
Coefficient of variation (CV)15.28604926
Kurtosis0.1548417837
Mean0.07191131291
Median Absolute Deviation (MAD)0.7345914355
Skewness0.08548115108
Sum7.191131291
Variance1.208328294
MonotonicityNot monotonic
2025-03-29T15:55:08.299288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.093690439 1
 
1.0%
-0.5049148423 1
 
1.0%
1.186691383 1
 
1.0%
-0.2502823331 1
 
1.0%
0.8774485221 1
 
1.0%
-0.4782650357 1
 
1.0%
-0.3125178791 1
 
1.0%
-1.706669577 1
 
1.0%
0.2126460762 1
 
1.0%
-1.042682276 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.851907841 1
1.0%
-2.366120514 1
1.0%
-1.958340916 1
1.0%
-1.85304033 1
1.0%
-1.766835365 1
1.0%
ValueCountFrequency (%)
3.093429531 1
1.0%
2.665287828 1
1.0%
2.52626418 1
1.0%
2.064550552 1
1.0%
1.85004733 1
1.0%

stockewTotCnt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02009244901
Minimum-2.689042515
Maximum1.964654412
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size928.0 B
2025-03-29T15:55:08.429735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.689042515
5-th percentile-1.662522455
Q1-0.6573215286
median-0.01006621764
Q30.7262563704
95-th percentile1.545567905
Maximum1.964654412
Range4.653696927
Interquartile range (IQR)1.383577899

Descriptive statistics

Standard deviation0.9620294025
Coefficient of variation (CV)47.88014652
Kurtosis-0.3862593515
Mean0.02009244901
Median Absolute Deviation (MAD)0.7125957698
Skewness-0.1259072593
Sum2.009244901
Variance0.9255005713
MonotonicityNot monotonic
2025-03-29T15:55:08.576376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.8205765556 1
 
1.0%
1.097672106 1
 
1.0%
0.6409506083 1
 
1.0%
-0.7036975462 1
 
1.0%
1.194828995 1
 
1.0%
-1.370701583 1
 
1.0%
0.6923145736 1
 
1.0%
1.92337188 1
 
1.0%
-1.254324559 1
 
1.0%
-1.680004746 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.689042515 1
1.0%
-1.785547299 1
1.0%
-1.764405721 1
1.0%
-1.692732841 1
1.0%
-1.680004746 1
1.0%
ValueCountFrequency (%)
1.964654412 1
1.0%
1.92337188 1
1.0%
1.847831029 1
1.0%
1.7139258 1
1.0%
1.6649907 1
1.0%

stockewUsdCnt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07965550897
Minimum-2.489127805
Maximum2.53623131
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:55:08.709295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.489127805
5-th percentile-1.869544552
Q1-0.5339655303
median0.1459971591
Q30.6750946068
95-th percentile1.538650821
Maximum2.53623131
Range5.025359114
Interquartile range (IQR)1.209060137

Descriptive statistics

Standard deviation1.017846128
Coefficient of variation (CV)12.77810086
Kurtosis-0.03014525978
Mean0.07965550897
Median Absolute Deviation (MAD)0.5991656811
Skewness-0.3854946259
Sum7.965550897
Variance1.03601074
MonotonicityNot monotonic
2025-03-29T15:55:08.842953image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5424993064 1
 
1.0%
-1.0049053 1
 
1.0%
-0.770288356 1
 
1.0%
0.1528921483 1
 
1.0%
1.178430326 1
 
1.0%
-1.184923207 1
 
1.0%
-1.515133314 1
 
1.0%
-0.1124645764 1
 
1.0%
0.5169506886 1
 
1.0%
0.1234443458 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.489127805 1
1.0%
-2.345502524 1
1.0%
-2.152037521 1
1.0%
-2.03829653 1
1.0%
-1.883362095 1
1.0%
ValueCountFrequency (%)
2.53623131 1
1.0%
1.91631882 1
1.0%
1.856731604 1
1.0%
1.845645569 1
1.0%
1.575974526 1
1.0%

stocksprtrn
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1174003043
Minimum-3.408966737
Maximum3.075585532
Zeros0
Zeros (%)0.0%
Negative55
Negative (%)55.0%
Memory size928.0 B
2025-03-29T15:55:08.976371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.408966737
5-th percentile-1.58376552
Q1-0.9218416223
median-0.1629147243
Q30.4534997936
95-th percentile1.893289091
Maximum3.075585532
Range6.484552269
Interquartile range (IQR)1.375341416

Descriptive statistics

Standard deviation1.136082066
Coefficient of variation (CV)-9.676994218
Kurtosis0.4732010311
Mean-0.1174003043
Median Absolute Deviation (MAD)0.6869129797
Skewness0.2418964813
Sum-11.74003043
Variance1.290682462
MonotonicityNot monotonic
2025-03-29T15:55:09.109506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.055582312 1
 
1.0%
-2.041389325 1
 
1.0%
1.376827362 1
 
1.0%
1.079717007 1
 
1.0%
0.8089526614 1
 
1.0%
1.182680055 1
 
1.0%
0.6926720343 1
 
1.0%
-1.370897359 1
 
1.0%
-1.574329254 1
 
1.0%
2.352585079 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.408966737 1
1.0%
-2.577345023 1
1.0%
-2.170982935 1
1.0%
-2.041389325 1
1.0%
-1.763054576 1
1.0%
ValueCountFrequency (%)
3.075585532 1
1.0%
2.352585079 1
1.0%
2.344669895 1
1.0%
2.272181453 1
1.0%
2.254536102 1
1.0%

ustreb30ret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06504378924
Minimum-2.52108665
Maximum2.02871353
Zeros0
Zeros (%)0.0%
Negative51
Negative (%)51.0%
Memory size928.0 B
2025-03-29T15:55:09.259238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.52108665
5-th percentile-1.498948255
Q1-0.5272457207
median-0.03496951966
Q30.7138381174
95-th percentile1.794705159
Maximum2.02871353
Range4.549800181
Interquartile range (IQR)1.241083838

Descriptive statistics

Standard deviation1.006148589
Coefficient of variation (CV)15.46878804
Kurtosis-0.2580322675
Mean0.06504378924
Median Absolute Deviation (MAD)0.5839240616
Skewness-0.03527864959
Sum6.504378924
Variance1.012334984
MonotonicityNot monotonic
2025-03-29T15:55:09.391560image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.057492955 1
 
1.0%
1.792402065 1
 
1.0%
-0.04741538103 1
 
1.0%
-0.2830431743 1
 
1.0%
-0.650826025 1
 
1.0%
-0.2392040174 1
 
1.0%
-0.04992099745 1
 
1.0%
0.4848403412 1
 
1.0%
1.066231528 1
 
1.0%
1.76645026 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.52108665 1
1.0%
-2.146055107 1
1.0%
-2.111918249 1
1.0%
-1.633601674 1
1.0%
-1.546819665 1
1.0%
ValueCountFrequency (%)
2.02871353 1
1.0%
2.003206949 1
1.0%
1.913145056 1
1.0%
1.898340376 1
1.0%
1.838463931 1
1.0%

ustreb30ind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09357155777
Minimum-2.08723741
Maximum1.912554689
Zeros0
Zeros (%)0.0%
Negative54
Negative (%)54.0%
Memory size928.0 B
2025-03-29T15:55:09.525746image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.08723741
5-th percentile-1.689216744
Q1-0.7819524725
median-0.08867027504
Q30.6148992366
95-th percentile1.568750421
Maximum1.912554689
Range3.9997921
Interquartile range (IQR)1.396851709

Descriptive statistics

Standard deviation1.026562626
Coefficient of variation (CV)-10.97088315
Kurtosis-0.8288903183
Mean-0.09357155777
Median Absolute Deviation (MAD)0.7032611299
Skewness0.03639741609
Sum-9.357155777
Variance1.053830826
MonotonicityNot monotonic
2025-03-29T15:55:09.675675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5865287822 1
 
1.0%
0.455515005 1
 
1.0%
0.2266364175 1
 
1.0%
-1.30818893 1
 
1.0%
-0.55971916 1
 
1.0%
1.066305567 1
 
1.0%
-0.6784091983 1
 
1.0%
-2.009755361 1
 
1.0%
-1.068828231 1
 
1.0%
-1.550582296 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.08723741 1
1.0%
-2.009755361 1
1.0%
-1.968270634 1
1.0%
-1.826761994 1
1.0%
-1.786886035 1
1.0%
ValueCountFrequency (%)
1.912554689 1
1.0%
1.887685777 1
1.0%
1.64491421 1
1.0%
1.626714366 1
1.0%
1.619031569 1
1.0%

ustreb20ret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.006425225062
Minimum-2.365122453
Maximum2.322053394
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:09.959277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.365122453
5-th percentile-1.506603646
Q1-0.68789431
median0.05939377577
Q30.6405950912
95-th percentile1.476097102
Maximum2.322053394
Range4.687175847
Interquartile range (IQR)1.328489401

Descriptive statistics

Standard deviation0.9591014015
Coefficient of variation (CV)-149.2712539
Kurtosis-0.3768513755
Mean-0.006425225062
Median Absolute Deviation (MAD)0.7037989752
Skewness-0.008860930421
Sum-0.6425225062
Variance0.9198754984
MonotonicityNot monotonic
2025-03-29T15:55:10.097478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1860663361 1
 
1.0%
1.087455739 1
 
1.0%
0.3555415133 1
 
1.0%
0.6191040766 1
 
1.0%
-0.7429073328 1
 
1.0%
0.05446554483 1
 
1.0%
0.6499355504 1
 
1.0%
-0.6388338698 1
 
1.0%
-0.8574312117 1
 
1.0%
2.322053394 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.365122453 1
1.0%
-2.115511471 1
1.0%
-1.886837508 1
1.0%
-1.748902048 1
1.0%
-1.520419655 1
1.0%
ValueCountFrequency (%)
2.322053394 1
1.0%
2.009491592 1
1.0%
1.919619629 1
1.0%
1.676597932 1
1.0%
1.675954535 1
1.0%

ustreb20ind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02142858184
Minimum-2.203778504
Maximum2.738994128
Zeros0
Zeros (%)0.0%
Negative56
Negative (%)56.0%
Memory size928.0 B
2025-03-29T15:55:10.234360image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.203778504
5-th percentile-1.486491858
Q1-0.7492299876
median-0.07758701092
Q30.4392090706
95-th percentile1.867041672
Maximum2.738994128
Range4.942772631
Interquartile range (IQR)1.188439058

Descriptive statistics

Standard deviation0.9920237625
Coefficient of variation (CV)-46.29441976
Kurtosis0.1843173102
Mean-0.02142858184
Median Absolute Deviation (MAD)0.5846724717
Skewness0.4615233919
Sum-2.142858184
Variance0.9841111455
MonotonicityNot monotonic
2025-03-29T15:55:10.375926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09991984772 1
 
1.0%
0.3161258164 1
 
1.0%
-0.9442167143 1
 
1.0%
0.1767073512 1
 
1.0%
-0.001123160306 1
 
1.0%
-0.2285848083 1
 
1.0%
-0.4719507693 1
 
1.0%
-1.321462473 1
 
1.0%
0.4051852293 1
 
1.0%
1.295815913 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.203778504 1
1.0%
-1.839901664 1
1.0%
-1.690065261 1
1.0%
-1.642357915 1
1.0%
-1.580935521 1
1.0%
ValueCountFrequency (%)
2.738994128 1
1.0%
2.637198199 1
1.0%
2.020473977 1
1.0%
2.008733423 1
1.0%
1.943911036 1
1.0%

ustreb10ret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06615412297
Minimum-1.865964548
Maximum2.535375748
Zeros0
Zeros (%)0.0%
Negative54
Negative (%)54.0%
Memory size928.0 B
2025-03-29T15:55:10.508714image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.865964548
5-th percentile-1.318039895
Q1-0.6116797316
median-0.08901250447
Q30.4034226423
95-th percentile1.505685761
Maximum2.535375748
Range4.401340296
Interquartile range (IQR)1.015102374

Descriptive statistics

Standard deviation0.8415599625
Coefficient of variation (CV)-12.72120202
Kurtosis0.1791951989
Mean-0.06615412297
Median Absolute Deviation (MAD)0.5126706817
Skewness0.3563560549
Sum-6.615412297
Variance0.7082231705
MonotonicityNot monotonic
2025-03-29T15:55:10.651192image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.61616972 1
 
1.0%
-0.4571741471 1
 
1.0%
0.3456401399 1
 
1.0%
0.412822079 1
 
1.0%
0.3090399277 1
 
1.0%
-1.055193473 1
 
1.0%
0.04699217031 1
 
1.0%
-0.4224951435 1
 
1.0%
0.01970276348 1
 
1.0%
0.3875428565 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.865964548 1
1.0%
-1.661278749 1
1.0%
-1.61616972 1
1.0%
-1.498143395 1
1.0%
-1.339755253 1
1.0%
ValueCountFrequency (%)
2.535375748 1
1.0%
1.758267681 1
1.0%
1.756970936 1
1.0%
1.675540213 1
1.0%
1.572469492 1
1.0%

ustreb10ind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005295799589
Minimum-2.805741419
Maximum2.886247471
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:10.778424image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.805741419
5-th percentile-1.977886235
Q1-0.8074407525
median0.06032854149
Q30.785955266
95-th percentile1.713015032
Maximum2.886247471
Range5.69198889
Interquartile range (IQR)1.593396018

Descriptive statistics

Standard deviation1.113268006
Coefficient of variation (CV)-210.2171706
Kurtosis-0.1025705864
Mean-0.005295799589
Median Absolute Deviation (MAD)0.8089492679
Skewness-0.04981114832
Sum-0.5295799589
Variance1.239365652
MonotonicityNot monotonic
2025-03-29T15:55:10.908916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.050058031 1
 
1.0%
-0.3759429693 1
 
1.0%
-0.5852471571 1
 
1.0%
-0.5683516407 1
 
1.0%
-0.2748655629 1
 
1.0%
1.288898506 1
 
1.0%
-0.7556191238 1
 
1.0%
0.3402758628 1
 
1.0%
-2.336759355 1
 
1.0%
-1.044369163 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.805741419 1
1.0%
-2.336759355 1
1.0%
-2.149396994 1
1.0%
-2.120338741 1
1.0%
-1.993191413 1
1.0%
ValueCountFrequency (%)
2.886247471 1
1.0%
2.790291622 1
1.0%
1.851340119 1
1.0%
1.768402335 1
1.0%
1.755956724 1
1.0%

ustreb7ret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06320242438
Minimum-2.576629767
Maximum3.05171132
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)52.0%
Memory size928.0 B
2025-03-29T15:55:11.050388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.576629767
5-th percentile-1.574982502
Q1-0.6260942032
median-0.04343202978
Q30.5591117951
95-th percentile1.181578107
Maximum3.05171132
Range5.628341087
Interquartile range (IQR)1.185205998

Descriptive statistics

Standard deviation0.9392166832
Coefficient of variation (CV)-14.86045341
Kurtosis0.4389711373
Mean-0.06320242438
Median Absolute Deviation (MAD)0.6047477576
Skewness-0.006687689304
Sum-6.320242438
Variance0.8821279781
MonotonicityNot monotonic
2025-03-29T15:55:11.175454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.05259833657 1
 
1.0%
-0.8557350803 1
 
1.0%
0.04521076756 1
 
1.0%
0.9899467122 1
 
1.0%
0.8166121536 1
 
1.0%
0.8097683083 1
 
1.0%
0.3306174956 1
 
1.0%
1.151479594 1
 
1.0%
0.5366465785 1
 
1.0%
-0.9231741955 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.576629767 1
1.0%
-1.927755259 1
1.0%
-1.913309371 1
1.0%
-1.786603073 1
1.0%
-1.672102771 1
1.0%
ValueCountFrequency (%)
3.05171132 1
1.0%
1.636446484 1
1.0%
1.628768088 1
1.0%
1.442106117 1
1.0%
1.216357618 1
1.0%

ustreb7ind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1575678398
Minimum-2.912134379
Maximum1.764361316
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)57.0%
Memory size928.0 B
2025-03-29T15:55:11.311715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.912134379
5-th percentile-2.051349782
Q1-0.7284445067
median-0.2021626744
Q30.5257999793
95-th percentile1.440884278
Maximum1.764361316
Range4.676495696
Interquartile range (IQR)1.254244486

Descriptive statistics

Standard deviation1.011528296
Coefficient of variation (CV)-6.419636757
Kurtosis0.005034843717
Mean-0.1575678398
Median Absolute Deviation (MAD)0.6055740946
Skewness-0.2976421543
Sum-15.75678398
Variance1.023189494
MonotonicityNot monotonic
2025-03-29T15:55:11.441691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7625440635 1
 
1.0%
-1.292375454 1
 
1.0%
-0.3538066665 1
 
1.0%
-1.628524967 1
 
1.0%
0.5893280471 1
 
1.0%
-0.1575665576 1
 
1.0%
-0.2524278512 1
 
1.0%
1.032829954 1
 
1.0%
0.9325425553 1
 
1.0%
0.01935494092 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.912134379 1
1.0%
-2.763713825 1
1.0%
-2.194403887 1
1.0%
-2.174575313 1
1.0%
-2.05306125 1
1.0%
ValueCountFrequency (%)
1.764361316 1
1.0%
1.717993056 1
1.0%
1.619054031 1
1.0%
1.611114982 1
1.0%
1.555414345 1
1.0%

ustreb5ret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07605667386
Minimum-2.150524387
Maximum2.365646695
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:11.585244image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.150524387
5-th percentile-1.690357861
Q1-0.8256386763
median0.02441456876
Q30.6585404182
95-th percentile1.614469106
Maximum2.365646695
Range4.516171082
Interquartile range (IQR)1.484179094

Descriptive statistics

Standard deviation1.029624748
Coefficient of variation (CV)-13.53759894
Kurtosis-0.5790754514
Mean-0.07605667386
Median Absolute Deviation (MAD)0.7008921786
Skewness0.03388220264
Sum-7.605667386
Variance1.060127121
MonotonicityNot monotonic
2025-03-29T15:55:11.709944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.825537038 1
 
1.0%
0.7041826453 1
 
1.0%
1.01514384 1
 
1.0%
-1.93674349 1
 
1.0%
0.2860415925 1
 
1.0%
0.04716707326 1
 
1.0%
0.07921682442 1
 
1.0%
0.3899343863 1
 
1.0%
-1.289050005 1
 
1.0%
-1.302366319 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.150524387 1
1.0%
-2.074821918 1
1.0%
-2.008324005 1
1.0%
-1.93674349 1
1.0%
-1.76183399 1
1.0%
ValueCountFrequency (%)
2.365646695 1
1.0%
2.041316032 1
1.0%
1.977126521 1
1.0%
1.946912336 1
1.0%
1.825537038 1
1.0%

ustreb5ind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04209480086
Minimum-2.133372073
Maximum2.312481906
Zeros0
Zeros (%)0.0%
Negative55
Negative (%)55.0%
Memory size928.0 B
2025-03-29T15:55:11.857386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.133372073
5-th percentile-1.538687977
Q1-0.6065389666
median-0.09971218486
Q30.4141360002
95-th percentile1.310031911
Maximum2.312481906
Range4.445853979
Interquartile range (IQR)1.020674967

Descriptive statistics

Standard deviation0.8534240996
Coefficient of variation (CV)-20.27386001
Kurtosis0.1862400943
Mean-0.04209480086
Median Absolute Deviation (MAD)0.5070087713
Skewness0.1153692492
Sum-4.209480086
Variance0.7283326938
MonotonicityNot monotonic
2025-03-29T15:55:11.991900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1274285727 1
 
1.0%
-0.4139604055 1
 
1.0%
0.4017314054 1
 
1.0%
0.7116102237 1
 
1.0%
-0.1571132949 1
 
1.0%
0.1945719809 1
 
1.0%
-0.6601691975 1
 
1.0%
-0.4114119137 1
 
1.0%
-0.7082089976 1
 
1.0%
-0.1071296348 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.133372073 1
1.0%
-1.689417989 1
1.0%
-1.680154048 1
1.0%
-1.644740842 1
1.0%
-1.569883928 1
1.0%
ValueCountFrequency (%)
2.312481906 1
1.0%
2.059854811 1
1.0%
1.814046329 1
1.0%
1.519383548 1
1.0%
1.425125187 1
1.0%

ustreb2ret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02168511402
Minimum-3.759778927
Maximum2.531247233
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:12.125115image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.759778927
5-th percentile-1.609210973
Q1-0.6902402702
median0.05719047469
Q30.8146918202
95-th percentile1.675887963
Maximum2.531247233
Range6.29102616
Interquartile range (IQR)1.50493209

Descriptive statistics

Standard deviation1.062210148
Coefficient of variation (CV)48.98337848
Kurtosis0.5918417963
Mean0.02168511402
Median Absolute Deviation (MAD)0.7667353022
Skewness-0.2959424797
Sum2.168511402
Variance1.128290398
MonotonicityNot monotonic
2025-03-29T15:55:12.270277image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7707299135 1
 
1.0%
-0.1368400334 1
 
1.0%
-0.9001612335 1
 
1.0%
-0.3774404903 1
 
1.0%
1.115607011 1
 
1.0%
0.9482464636 1
 
1.0%
0.1071024518 1
 
1.0%
0.6451278388 1
 
1.0%
0.8054578636 1
 
1.0%
-1.148189358 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.759778927 1
1.0%
-2.03350067 1
1.0%
-1.949345255 1
1.0%
-1.785258468 1
1.0%
-1.630331645 1
1.0%
ValueCountFrequency (%)
2.531247233 1
1.0%
2.068435341 1
1.0%
1.915552372 1
1.0%
1.75244205 1
1.0%
1.686365459 1
1.0%

ustreb2ind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1039355927
Minimum-4.054050085
Maximum1.912343932
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size928.0 B
2025-03-29T15:55:12.408084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-4.054050085
5-th percentile-2.000418312
Q1-0.7101578927
median0.02329994293
Q30.6119538825
95-th percentile1.597537644
Maximum1.912343932
Range5.966394017
Interquartile range (IQR)1.322111775

Descriptive statistics

Standard deviation1.102424393
Coefficient of variation (CV)-10.60680335
Kurtosis0.5788046133
Mean-0.1039355927
Median Absolute Deviation (MAD)0.6514984001
Skewness-0.5756294934
Sum-10.39355927
Variance1.215339542
MonotonicityNot monotonic
2025-03-29T15:55:12.691689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2739637563 1
 
1.0%
0.1876378544 1
 
1.0%
-0.5689465123 1
 
1.0%
0.8786516754 1
 
1.0%
-0.8132230316 1
 
1.0%
1.597423363 1
 
1.0%
0.4518182565 1
 
1.0%
-0.2033582635 1
 
1.0%
-0.5971942513 1
 
1.0%
-1.224707961 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-4.054050085 1
1.0%
-2.350244682 1
1.0%
-2.330285334 1
1.0%
-2.006930329 1
1.0%
-2.002052984 1
1.0%
ValueCountFrequency (%)
1.912343932 1
1.0%
1.719144334 1
1.0%
1.711557921 1
1.0%
1.644467433 1
1.0%
1.599708994 1
1.0%

ustreb1ret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09179189211
Minimum-2.238703812
Maximum2.471247045
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:55:12.824818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.238703812
5-th percentile-1.642452959
Q1-0.7359935419
median0.1043950962
Q30.9101934577
95-th percentile1.575867703
Maximum2.471247045
Range4.709950857
Interquartile range (IQR)1.646187

Descriptive statistics

Standard deviation1.056028862
Coefficient of variation (CV)11.50459847
Kurtosis-0.6885819858
Mean0.09179189211
Median Absolute Deviation (MAD)0.8184347823
Skewness0.01484844702
Sum9.179189211
Variance1.115196957
MonotonicityNot monotonic
2025-03-29T15:55:12.958075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.337434108 1
 
1.0%
0.03249520479 1
 
1.0%
-1.089035776 1
 
1.0%
-0.3712903014 1
 
1.0%
0.06876154774 1
 
1.0%
1.433212975 1
 
1.0%
0.9904125587 1
 
1.0%
1.262245333 1
 
1.0%
2.05960522 1
 
1.0%
-0.7754067584 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.238703812 1
1.0%
-1.86255189 1
1.0%
-1.785265048 1
1.0%
-1.708034858 1
1.0%
-1.674628089 1
1.0%
ValueCountFrequency (%)
2.471247045 1
1.0%
2.388446817 1
1.0%
2.191736186 1
1.0%
2.05960522 1
1.0%
1.645385325 1
1.0%

ustreb1ind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01519330324
Minimum-2.799191847
Maximum2.004465064
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:55:13.091500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.799191847
5-th percentile-1.931415979
Q1-0.5616152606
median0.09531639282
Q30.6029002008
95-th percentile1.334785195
Maximum2.004465064
Range4.803656911
Interquartile range (IQR)1.164515461

Descriptive statistics

Standard deviation0.9811358989
Coefficient of variation (CV)-64.57686543
Kurtosis0.1842101762
Mean-0.01519330324
Median Absolute Deviation (MAD)0.6229535601
Skewness-0.5218909429
Sum-1.519330324
Variance0.9626276522
MonotonicityNot monotonic
2025-03-29T15:55:13.244644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.305522058 1
 
1.0%
-0.8049756593 1
 
1.0%
0.2474708108 1
 
1.0%
1.295716288 1
 
1.0%
-2.799191847 1
 
1.0%
-1.374274556 1
 
1.0%
0.7371760981 1
 
1.0%
-0.6461754501 1
 
1.0%
-0.09166329085 1
 
1.0%
-0.7139565666 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.799191847 1
1.0%
-2.462120111 1
1.0%
-2.208361503 1
1.0%
-2.004598549 1
1.0%
-1.979656908 1
1.0%
ValueCountFrequency (%)
2.004465064 1
1.0%
1.861559708 1
1.0%
1.767731812 1
1.0%
1.464512571 1
1.0%
1.391782952 1
1.0%

ustret90ret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004046568373
Minimum-2.243239844
Maximum2.090214687
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:55:13.384174image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.243239844
5-th percentile-1.608659997
Q1-0.7618325439
median0.09076799418
Q30.6394745769
95-th percentile1.4590959
Maximum2.090214687
Range4.333454531
Interquartile range (IQR)1.401307121

Descriptive statistics

Standard deviation0.9412080232
Coefficient of variation (CV)232.5941233
Kurtosis-0.5040742151
Mean0.004046568373
Median Absolute Deviation (MAD)0.7416409632
Skewness-0.1257734785
Sum0.4046568373
Variance0.885872543
MonotonicityNot monotonic
2025-03-29T15:55:13.520191image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.689208495 1
 
1.0%
0.129232432 1
 
1.0%
0.5860309702 1
 
1.0%
1.022247779 1
 
1.0%
-1.012574431 1
 
1.0%
1.216445983 1
 
1.0%
-0.828405852 1
 
1.0%
-0.6628033069 1
 
1.0%
0.5898516393 1
 
1.0%
-0.3729029969 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.243239844 1
1.0%
-2.050559491 1
1.0%
-1.931383665 1
1.0%
-1.892644852 1
1.0%
-1.62120391 1
1.0%
ValueCountFrequency (%)
2.090214687 1
1.0%
1.776518691 1
1.0%
1.689208495 1
1.0%
1.555944868 1
1.0%
1.485659122 1
1.0%

ustret90ind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07372404764
Minimum-2.083487185
Maximum2.455896437
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:55:13.656581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.083487185
5-th percentile-1.718620985
Q1-0.6040625801
median0.2014522002
Q30.7411578448
95-th percentile1.669549063
Maximum2.455896437
Range4.539383622
Interquartile range (IQR)1.345220425

Descriptive statistics

Standard deviation1.028507503
Coefficient of variation (CV)13.95077368
Kurtosis-0.5535766777
Mean0.07372404764
Median Absolute Deviation (MAD)0.677282248
Skewness-0.1596856214
Sum7.372404764
Variance1.057827685
MonotonicityNot monotonic
2025-03-29T15:55:13.790838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.359043583 1
 
1.0%
-0.8779989492 1
 
1.0%
0.6252544788 1
 
1.0%
-0.5871283872 1
 
1.0%
1.751207059 1
 
1.0%
-0.7058310134 1
 
1.0%
0.8526055894 1
 
1.0%
0.7240876749 1
 
1.0%
-1.435847389 1
 
1.0%
-0.2312006253 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.083487185 1
1.0%
-2.025556195 1
1.0%
-2.00078224 1
1.0%
-1.89458033 1
1.0%
-1.766382664 1
1.0%
ValueCountFrequency (%)
2.455896437 1
1.0%
2.00101797 1
1.0%
1.907195727 1
1.0%
1.800746069 1
1.0%
1.751207059 1
1.0%

ustret30ret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004506292564
Minimum-2.217052392
Maximum2.330649313
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:13.924251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.217052392
5-th percentile-1.548869306
Q1-0.7115512665
median0.01223498572
Q30.6533649415
95-th percentile1.607400092
Maximum2.330649313
Range4.547701705
Interquartile range (IQR)1.364916208

Descriptive statistics

Standard deviation0.9931482493
Coefficient of variation (CV)220.3914271
Kurtosis-0.4385369144
Mean0.004506292564
Median Absolute Deviation (MAD)0.6789178232
Skewness-0.06579025425
Sum0.4506292564
Variance0.9863434451
MonotonicityNot monotonic
2025-03-29T15:55:14.057690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8078064585 1
 
1.0%
0.4764330669 1
 
1.0%
-0.08727307689 1
 
1.0%
0.5740318759 1
 
1.0%
1.903735224 1
 
1.0%
-0.03655923879 1
 
1.0%
0.2739992623 1
 
1.0%
0.8550350682 1
 
1.0%
0.9194709745 1
 
1.0%
-0.2270936064 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.217052392 1
1.0%
-2.197469609 1
1.0%
-2.133423503 1
1.0%
-1.818143552 1
1.0%
-1.617729059 1
1.0%
ValueCountFrequency (%)
2.330649313 1
1.0%
1.921439527 1
1.0%
1.903735224 1
1.0%
1.809174934 1
1.0%
1.642542451 1
1.0%

ustret30ind
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04157357174
Minimum-2.447730551
Maximum2.490223777
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)48.0%
Memory size928.0 B
2025-03-29T15:55:14.190825image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.447730551
5-th percentile-1.492336204
Q1-0.6921100229
median0.0529609306
Q30.6007260856
95-th percentile1.83620853
Maximum2.490223777
Range4.937954328
Interquartile range (IQR)1.292836109

Descriptive statistics

Standard deviation1.026804841
Coefficient of variation (CV)24.6984995
Kurtosis-0.3578350622
Mean0.04157357174
Median Absolute Deviation (MAD)0.6382478049
Skewness0.1083667345
Sum4.157357174
Variance1.054328182
MonotonicityNot monotonic
2025-03-29T15:55:14.324312image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9782208537 1
 
1.0%
0.495146341 1
 
1.0%
-0.6825379961 1
 
1.0%
-0.1181386049 1
 
1.0%
0.5313744301 1
 
1.0%
-1.089497192 1
 
1.0%
0.05638697833 1
 
1.0%
1.148762396 1
 
1.0%
-1.930938982 1
 
1.0%
1.888873388 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.447730551 1
1.0%
-1.930938982 1
1.0%
-1.913916699 1
1.0%
-1.616513601 1
1.0%
-1.509358591 1
1.0%
ValueCountFrequency (%)
2.490223777 1
1.0%
2.296383246 1
1.0%
2.041711491 1
1.0%
1.97617258 1
1.0%
1.888873388 1
1.0%

ustrecpiret
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03526888371
Minimum-2.02778933
Maximum2.784588199
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:55:14.457816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.02778933
5-th percentile-1.699386969
Q1-0.7536871827
median-0.04735733534
Q30.7411322401
95-th percentile1.588615979
Maximum2.784588199
Range4.812377529
Interquartile range (IQR)1.494819423

Descriptive statistics

Standard deviation1.042974242
Coefficient of variation (CV)-29.57207976
Kurtosis-0.4846739304
Mean-0.03526888371
Median Absolute Deviation (MAD)0.7531362732
Skewness0.09332124188
Sum-3.526888371
Variance1.08779527
MonotonicityNot monotonic
2025-03-29T15:55:14.607492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.720014949 1
 
1.0%
-1.528224853 1
 
1.0%
0.9768357469 1
 
1.0%
-0.6319419983 1
 
1.0%
-1.669637993 1
 
1.0%
-0.6954196543 1
 
1.0%
1.405907552 1
 
1.0%
1.516249773 1
 
1.0%
0.7530099211 1
 
1.0%
0.320129165 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.02778933 1
1.0%
-1.971001719 1
1.0%
-1.954105103 1
1.0%
-1.886987074 1
1.0%
-1.720014949 1
1.0%
ValueCountFrequency (%)
2.784588199 1
1.0%
2.009650136 1
1.0%
1.937743763 1
1.0%
1.841549476 1
1.0%
1.729467052 1
1.0%

ajexm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003304282496
Minimum-2.065184872
Maximum2.400398278
Zeros0
Zeros (%)0.0%
Negative51
Negative (%)51.0%
Memory size928.0 B
2025-03-29T15:55:14.744095image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.065184872
5-th percentile-1.588562895
Q1-0.6990485788
median-0.04233319767
Q30.6210162694
95-th percentile1.567733202
Maximum2.400398278
Range4.46558315
Interquartile range (IQR)1.320064848

Descriptive statistics

Standard deviation0.9502712206
Coefficient of variation (CV)287.5877658
Kurtosis-0.1027541755
Mean0.003304282496
Median Absolute Deviation (MAD)0.6583536116
Skewness0.2195293199
Sum0.3304282496
Variance0.9030153926
MonotonicityNot monotonic
2025-03-29T15:55:14.873789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.8741473387 1
 
1.0%
0.03435746644 1
 
1.0%
-1.343375012 1
 
1.0%
0.4911528209 1
 
1.0%
-1.235557575 1
 
1.0%
-0.05852852606 1
 
1.0%
0.06183908172 1
 
1.0%
0.7546733411 1
 
1.0%
1.024561749 1
 
1.0%
-0.1768551601 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.065184872 1
1.0%
-1.896621055 1
1.0%
-1.768353289 1
1.0%
-1.694435831 1
1.0%
-1.651751168 1
1.0%
ValueCountFrequency (%)
2.400398278 1
1.0%
2.348722402 1
1.0%
2.127670458 1
1.0%
2.034069019 1
1.0%
1.680929832 1
1.0%

ajpm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.006891684984
Minimum-2.133719027
Maximum2.081648789
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:15.157275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.133719027
5-th percentile-1.502547249
Q1-0.8117423037
median0.00533706793
Q30.6051418623
95-th percentile1.691121901
Maximum2.081648789
Range4.215367815
Interquartile range (IQR)1.416884166

Descriptive statistics

Standard deviation0.9808577909
Coefficient of variation (CV)-142.3248151
Kurtosis-0.6693950337
Mean-0.006891684984
Median Absolute Deviation (MAD)0.6766664893
Skewness0.1519562296
Sum-0.6891684984
Variance0.962082006
MonotonicityNot monotonic
2025-03-29T15:55:15.290541image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5254953029 1
 
1.0%
-0.2109190398 1
 
1.0%
-0.04021613623 1
 
1.0%
-1.402473334 1
 
1.0%
-1.134381176 1
 
1.0%
0.3383158317 1
 
1.0%
0.01900847056 1
 
1.0%
0.4297335809 1
 
1.0%
-0.65141179 1
 
1.0%
1.781117991 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.133719027 1
1.0%
-1.842618142 1
1.0%
-1.67964876 1
1.0%
-1.674198282 1
1.0%
-1.538075006 1
1.0%
ValueCountFrequency (%)
2.081648789 1
1.0%
1.97787372 1
1.0%
1.850616585 1
1.0%
1.788485768 1
1.0%
1.781117991 1
1.0%

cshtrm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04636800085
Minimum-2.706518458
Maximum2.715149317
Zeros0
Zeros (%)0.0%
Negative47
Negative (%)47.0%
Memory size928.0 B
2025-03-29T15:55:15.425142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.706518458
5-th percentile-1.639798721
Q1-0.7411832245
median0.05082194668
Q30.5653161793
95-th percentile1.465400889
Maximum2.715149317
Range5.421667775
Interquartile range (IQR)1.306499404

Descriptive statistics

Standard deviation0.9967157414
Coefficient of variation (CV)-21.49576697
Kurtosis-0.1163120601
Mean-0.04636800085
Median Absolute Deviation (MAD)0.7152013263
Skewness-0.09500581333
Sum-4.636800085
Variance0.9934422691
MonotonicityNot monotonic
2025-03-29T15:55:15.564787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.8602998422 1
 
1.0%
0.4938546089 1
 
1.0%
0.7948667127 1
 
1.0%
-0.7690528078 1
 
1.0%
-1.597023996 1
 
1.0%
-0.7518055975 1
 
1.0%
-1.813161946 1
 
1.0%
0.7728046636 1
 
1.0%
0.8608293403 1
 
1.0%
1.779353126 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.706518458 1
1.0%
-2.068563521 1
1.0%
-1.894062611 1
1.0%
-1.813161946 1
1.0%
-1.735158638 1
1.0%
ValueCountFrequency (%)
2.715149317 1
1.0%
1.779353126 1
1.0%
1.617970579 1
1.0%
1.539915146 1
1.0%
1.523601814 1
1.0%

prccm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03331905558
Minimum-2.395136219
Maximum2.458450343
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)52.0%
Memory size928.0 B
2025-03-29T15:55:15.701161image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.395136219
5-th percentile-1.525586367
Q1-0.7046587427
median-0.04832201817
Q30.5977062962
95-th percentile1.737722439
Maximum2.458450343
Range4.853586562
Interquartile range (IQR)1.302365039

Descriptive statistics

Standard deviation0.9757219222
Coefficient of variation (CV)29.28420105
Kurtosis-0.1697955932
Mean0.03331905558
Median Absolute Deviation (MAD)0.6601260184
Skewness0.1553073969
Sum3.331905558
Variance0.9520332695
MonotonicityNot monotonic
2025-03-29T15:55:15.840507image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6275907323 1
 
1.0%
-0.4376519421 1
 
1.0%
1.727325696 1
 
1.0%
-0.33522945 1
 
1.0%
1.319104537 1
 
1.0%
-0.7007111642 1
 
1.0%
-0.8548083726 1
 
1.0%
-1.158770193 1
 
1.0%
-0.2300845114 1
 
1.0%
-1.889726352 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.395136219 1
1.0%
-1.889726352 1
1.0%
-1.875475763 1
1.0%
-1.732859643 1
1.0%
-1.587890865 1
1.0%
ValueCountFrequency (%)
2.458450343 1
1.0%
2.113683869 1
1.0%
1.94847941 1
1.0%
1.936586327 1
1.0%
1.935260563 1
1.0%

prchm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08725326789
Minimum-2.503051593
Maximum2.237849259
Zeros0
Zeros (%)0.0%
Negative51
Negative (%)51.0%
Memory size928.0 B
2025-03-29T15:55:15.973712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.503051593
5-th percentile-1.78159771
Q1-0.761444159
median-0.07774337555
Q30.6895306338
95-th percentile1.48138682
Maximum2.237849259
Range4.740900852
Interquartile range (IQR)1.450974793

Descriptive statistics

Standard deviation1.027227189
Coefficient of variation (CV)-11.77293657
Kurtosis-0.4589804367
Mean-0.08725326789
Median Absolute Deviation (MAD)0.7479188451
Skewness-0.1109459019
Sum-8.725326789
Variance1.055195697
MonotonicityNot monotonic
2025-03-29T15:55:16.110816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.2863984815 1
 
1.0%
-2.204540506 1
 
1.0%
0.0806731956 1
 
1.0%
0.8892858492 1
 
1.0%
0.2006969857 1
 
1.0%
1.380031584 1
 
1.0%
0.6517875712 1
 
1.0%
-0.7425104323 1
 
1.0%
1.063953937 1
 
1.0%
-1.050892232 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.503051593 1
1.0%
-2.267752309 1
1.0%
-2.204540506 1
1.0%
-1.991899797 1
1.0%
-1.900854589 1
1.0%
ValueCountFrequency (%)
2.237849259 1
1.0%
1.928859434 1
1.0%
1.874708803 1
1.0%
1.756958173 1
1.0%
1.555880781 1
1.0%

prclm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1058813522
Minimum-2.106283817
Maximum1.993635485
Zeros0
Zeros (%)0.0%
Negative55
Negative (%)55.0%
Memory size928.0 B
2025-03-29T15:55:16.256496image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.106283817
5-th percentile-1.582258551
Q1-0.7891590234
median-0.1342435373
Q30.5338601387
95-th percentile1.451089121
Maximum1.993635485
Range4.099919302
Interquartile range (IQR)1.323019162

Descriptive statistics

Standard deviation0.8929555012
Coefficient of variation (CV)-8.433548332
Kurtosis-0.2817259004
Mean-0.1058813522
Median Absolute Deviation (MAD)0.6750609861
Skewness0.1334131223
Sum-10.58813522
Variance0.7973695271
MonotonicityNot monotonic
2025-03-29T15:55:16.390320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4676993729 1
 
1.0%
-1.056697838 1
 
1.0%
1.089592934 1
 
1.0%
0.4648792208 1
 
1.0%
-0.08154635587 1
 
1.0%
0.6552247474 1
 
1.0%
0.4149289091 1
 
1.0%
1.583650556 1
 
1.0%
0.5827396267 1
 
1.0%
0.6067961573 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.106283817 1
1.0%
-1.994779358 1
1.0%
-1.828596316 1
1.0%
-1.665003235 1
1.0%
-1.663842202 1
1.0%
ValueCountFrequency (%)
1.993635485 1
1.0%
1.942265211 1
1.0%
1.908597872 1
1.0%
1.652169978 1
1.0%
1.583650556 1
1.0%

trfm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07458838839
Minimum-2.437469736
Maximum2.368481709
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:55:16.522341image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.437469736
5-th percentile-1.60761382
Q1-0.7089834997
median0.2195238269
Q30.9571796257
95-th percentile1.782657133
Maximum2.368481709
Range4.805951446
Interquartile range (IQR)1.666163125

Descriptive statistics

Standard deviation1.092820894
Coefficient of variation (CV)14.65135415
Kurtosis-0.6041175324
Mean0.07458838839
Median Absolute Deviation (MAD)0.7826461142
Skewness-0.14745727
Sum7.458838839
Variance1.194257506
MonotonicityNot monotonic
2025-03-29T15:55:16.656742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.147010815 1
 
1.0%
0.92591938 1
 
1.0%
0.9801092953 1
 
1.0%
0.680549931 1
 
1.0%
0.4603075155 1
 
1.0%
0.1399648109 1
 
1.0%
0.7759275917 1
 
1.0%
-0.2853167372 1
 
1.0%
0.7548661998 1
 
1.0%
1.04132198 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.437469736 1
1.0%
-2.257392982 1
1.0%
-2.147890697 1
1.0%
-2.060566544 1
1.0%
-1.789340579 1
1.0%
ValueCountFrequency (%)
2.368481709 1
1.0%
2.322461434 1
1.0%
1.952531903 1
1.0%
1.949902398 1
1.0%
1.883757621 1
1.0%

trt1m
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02419696824
Minimum-2.450035302
Maximum2.02109777
Zeros0
Zeros (%)0.0%
Negative51
Negative (%)51.0%
Memory size928.0 B
2025-03-29T15:55:16.789991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.450035302
5-th percentile-1.625088991
Q1-0.6850333562
median-0.01935577641
Q30.7539607561
95-th percentile1.446809943
Maximum2.02109777
Range4.471133072
Interquartile range (IQR)1.438994112

Descriptive statistics

Standard deviation0.9789437475
Coefficient of variation (CV)-40.45728943
Kurtosis-0.3682145233
Mean-0.02419696824
Median Absolute Deviation (MAD)0.6873671453
Skewness-0.1401393811
Sum-2.419696824
Variance0.9583308607
MonotonicityNot monotonic
2025-03-29T15:55:16.923314image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.521326736 1
 
1.0%
-0.4046494829 1
 
1.0%
0.4004684667 1
 
1.0%
-0.6795412504 1
 
1.0%
0.3242765425 1
 
1.0%
0.7752419919 1
 
1.0%
-0.7119361699 1
 
1.0%
-1.424108171 1
 
1.0%
0.99908506 1
 
1.0%
-0.3000966961 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.450035302 1
1.0%
-2.43739014 1
1.0%
-1.850947156 1
1.0%
-1.782369434 1
1.0%
-1.682013232 1
1.0%
ValueCountFrequency (%)
2.02109777 1
1.0%
1.933613076 1
1.0%
1.823937473 1
1.0%
1.538400741 1
1.0%
1.455421388 1
1.0%

index_y
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0007274252055
Minimum-3.044662165
Maximum2.559487889
Zeros0
Zeros (%)0.0%
Negative51
Negative (%)51.0%
Memory size928.0 B
2025-03-29T15:55:17.052125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.044662165
5-th percentile-1.536022399
Q1-0.7457107815
median-0.006769984616
Q30.662471235
95-th percentile1.715865349
Maximum2.559487889
Range5.604150055
Interquartile range (IQR)1.408182017

Descriptive statistics

Standard deviation1.080284307
Coefficient of variation (CV)1485.079564
Kurtosis0.1452215711
Mean0.0007274252055
Median Absolute Deviation (MAD)0.7228375923
Skewness-0.1026477349
Sum0.07274252055
Variance1.167014183
MonotonicityNot monotonic
2025-03-29T15:55:17.188465image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.07061581032 1
 
1.0%
-0.9416503548 1
 
1.0%
1.102348855 1
 
1.0%
-0.1562597255 1
 
1.0%
-3.00994108 1
 
1.0%
-1.212794247 1
 
1.0%
-0.9929943536 1
 
1.0%
-1.074413549 1
 
1.0%
-0.6536580383 1
 
1.0%
0.04999763293 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.044662165 1
1.0%
-3.00994108 1
1.0%
-2.041361596 1
1.0%
-1.651751028 1
1.0%
-1.597097881 1
1.0%
ValueCountFrequency (%)
2.559487889 1
1.0%
2.240615664 1
1.0%
2.05097063 1
1.0%
1.927528374 1
1.0%
1.915219636 1
1.0%

CAPEI
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07494555138
Minimum-2.562068683
Maximum2.827323901
Zeros0
Zeros (%)0.0%
Negative54
Negative (%)54.0%
Memory size928.0 B
2025-03-29T15:55:17.323330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.562068683
5-th percentile-1.673706872
Q1-0.8150897326
median-0.1981505987
Q30.6293117162
95-th percentile1.497593721
Maximum2.827323901
Range5.389392584
Interquartile range (IQR)1.444401449

Descriptive statistics

Standard deviation1.055778287
Coefficient of variation (CV)-14.08727092
Kurtosis0.3528720422
Mean-0.07494555138
Median Absolute Deviation (MAD)0.7242642736
Skewness0.2259945725
Sum-7.494555138
Variance1.114667791
MonotonicityNot monotonic
2025-03-29T15:55:17.456422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.401960467 1
 
1.0%
-0.252576065 1
 
1.0%
0.1628554818 1
 
1.0%
0.5210311566 1
 
1.0%
1.087904274 1
 
1.0%
-0.3561283628 1
 
1.0%
0.1481213143 1
 
1.0%
-0.17623795 1
 
1.0%
0.8456513768 1
 
1.0%
-0.4546085416 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.562068683 1
1.0%
-2.421891997 1
1.0%
-2.330918302 1
1.0%
-2.086028349 1
1.0%
-1.795329085 1
1.0%
ValueCountFrequency (%)
2.827323901 1
1.0%
2.781871805 1
1.0%
2.489345425 1
1.0%
1.913751611 1
1.0%
1.85245989 1
1.0%

bm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1069490755
Minimum-2.259237014
Maximum2.745158353
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:55:17.738544image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.259237014
5-th percentile-1.524242398
Q1-0.7419825793
median0.09894805571
Q30.7763823455
95-th percentile1.871517173
Maximum2.745158353
Range5.004395367
Interquartile range (IQR)1.518364925

Descriptive statistics

Standard deviation1.045448966
Coefficient of variation (CV)9.7752034
Kurtosis-0.4776233883
Mean0.1069490755
Median Absolute Deviation (MAD)0.7699167575
Skewness0.17234921
Sum10.69490755
Variance1.092963541
MonotonicityNot monotonic
2025-03-29T15:55:17.872844image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7130775595 1
 
1.0%
0.7914956442 1
 
1.0%
-1.415032131 1
 
1.0%
-1.178947371 1
 
1.0%
0.3308991851 1
 
1.0%
0.1915871064 1
 
1.0%
0.1978534795 1
 
1.0%
-0.3909562759 1
 
1.0%
0.7938769016 1
 
1.0%
0.4592913468 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.259237014 1
1.0%
-1.830336501 1
1.0%
-1.598741683 1
1.0%
-1.550696701 1
1.0%
-1.533734102 1
1.0%
ValueCountFrequency (%)
2.745158353 1
1.0%
2.147247168 1
1.0%
2.136725636 1
1.0%
2.102715691 1
1.0%
2.011982431 1
1.0%

evm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09624294906
Minimum-2.887634301
Maximum3.13353666
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)52.0%
Memory size928.0 B
2025-03-29T15:55:18.006260image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.887634301
5-th percentile-1.923296726
Q1-0.9276281797
median-0.06971883384
Q30.728652365
95-th percentile1.795013983
Maximum3.13353666
Range6.02117096
Interquartile range (IQR)1.656280545

Descriptive statistics

Standard deviation1.202224818
Coefficient of variation (CV)-12.49156255
Kurtosis-0.236262393
Mean-0.09624294906
Median Absolute Deviation (MAD)0.8579133653
Skewness0.06156874296
Sum-9.624294906
Variance1.445344512
MonotonicityNot monotonic
2025-03-29T15:55:18.142942image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.2056772729 1
 
1.0%
1.005251962 1
 
1.0%
1.641536815 1
 
1.0%
0.5493915287 1
 
1.0%
0.8428098457 1
 
1.0%
-0.9169082961 1
 
1.0%
-0.9238971165 1
 
1.0%
2.051216219 1
 
1.0%
-1.368730463 1
 
1.0%
1.524701369 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.887634301 1
1.0%
-2.726899501 1
1.0%
-2.542997264 1
1.0%
-2.133837288 1
1.0%
-1.961720954 1
1.0%
ValueCountFrequency (%)
3.13353666 1
1.0%
2.437670488 1
1.0%
2.31353344 1
1.0%
2.051216219 1
1.0%
1.881472893 1
1.0%

pe_op_basic
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00427794309
Minimum-3.174748938
Maximum3.145761587
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size928.0 B
2025-03-29T15:55:18.272661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.174748938
5-th percentile-1.557198063
Q1-0.674192216
median0.01058850259
Q30.7803999189
95-th percentile1.615332999
Maximum3.145761587
Range6.320510525
Interquartile range (IQR)1.454592135

Descriptive statistics

Standard deviation1.029571915
Coefficient of variation (CV)240.6698485
Kurtosis0.4221982593
Mean0.00427794309
Median Absolute Deviation (MAD)0.7090587285
Skewness-0.009078016101
Sum0.427794309
Variance1.060018329
MonotonicityNot monotonic
2025-03-29T15:55:18.421590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.2823899916 1
 
1.0%
-1.251648442 1
 
1.0%
0.3541871197 1
 
1.0%
0.9850850278 1
 
1.0%
-1.086002641 1
 
1.0%
0.1948982864 1
 
1.0%
0.9684414083 1
 
1.0%
0.06013605572 1
 
1.0%
-0.7696586063 1
 
1.0%
1.621576994 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.174748938 1
1.0%
-2.185487736 1
1.0%
-1.790882846 1
1.0%
-1.671467258 1
1.0%
-1.661970738 1
1.0%
ValueCountFrequency (%)
3.145761587 1
1.0%
1.884431018 1
1.0%
1.634763486 1
1.0%
1.626636384 1
1.0%
1.621576994 1
1.0%

pe_op_dil
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1439338672
Minimum-3.046424521
Maximum3.155537877
Zeros0
Zeros (%)0.0%
Negative41
Negative (%)41.0%
Memory size928.0 B
2025-03-29T15:55:18.554862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.046424521
5-th percentile-1.717009127
Q1-0.471234507
median0.1580758402
Q30.8693777381
95-th percentile1.607680543
Maximum3.155537877
Range6.201962398
Interquartile range (IQR)1.340612245

Descriptive statistics

Standard deviation1.089340907
Coefficient of variation (CV)7.568343212
Kurtosis0.9569602268
Mean0.1439338672
Median Absolute Deviation (MAD)0.6752066017
Skewness-0.3994589874
Sum14.39338672
Variance1.186663612
MonotonicityNot monotonic
2025-03-29T15:55:18.689633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.178308245 1
 
1.0%
1.628052908 1
 
1.0%
0.633599042 1
 
1.0%
1.606608314 1
 
1.0%
1.182955376 1
 
1.0%
0.9987729689 1
 
1.0%
-0.5584159659 1
 
1.0%
-0.009350979168 1
 
1.0%
1.467693664 1
 
1.0%
-0.2147032827 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.046424521 1
1.0%
-2.844459077 1
1.0%
-2.457107113 1
1.0%
-2.124291055 1
1.0%
-2.100828868 1
1.0%
ValueCountFrequency (%)
3.155537877 1
1.0%
2.621425064 1
1.0%
2.400737109 1
1.0%
2.033459078 1
1.0%
1.628052908 1
1.0%

pe_exi
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1396321165
Minimum-2.122442497
Maximum1.949956519
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:55:18.838130image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.122442497
5-th percentile-1.54577366
Q1-0.7914784321
median-0.09464497914
Q30.4429189567
95-th percentile1.140178164
Maximum1.949956519
Range4.072399016
Interquartile range (IQR)1.234397389

Descriptive statistics

Standard deviation0.8732915539
Coefficient of variation (CV)-6.254231303
Kurtosis-0.441261197
Mean-0.1396321165
Median Absolute Deviation (MAD)0.5771169094
Skewness-0.009093375765
Sum-13.96321165
Variance0.7626381381
MonotonicityNot monotonic
2025-03-29T15:55:18.984857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.003395508 1
 
1.0%
0.123634467 1
 
1.0%
-1.072219315 1
 
1.0%
-0.24184749 1
 
1.0%
0.1533251793 1
 
1.0%
1.949956519 1
 
1.0%
-0.6285037469 1
 
1.0%
0.06136020635 1
 
1.0%
1.138430117 1
 
1.0%
0.7286249644 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.122442497 1
1.0%
-2.053508911 1
1.0%
-1.848181259 1
1.0%
-1.734343389 1
1.0%
-1.614108602 1
1.0%
ValueCountFrequency (%)
1.949956519 1
1.0%
1.722100808 1
1.0%
1.564824582 1
1.0%
1.304547985 1
1.0%
1.173391061 1
1.0%

pe_inc
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09585251224
Minimum-2.49899746
Maximum2.63062328
Zeros0
Zeros (%)0.0%
Negative56
Negative (%)56.0%
Memory size928.0 B
2025-03-29T15:55:19.137841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.49899746
5-th percentile-1.707255405
Q1-0.6456400048
median-0.2184540164
Q30.4962175967
95-th percentile1.722091787
Maximum2.63062328
Range5.12962074
Interquartile range (IQR)1.141857601

Descriptive statistics

Standard deviation1.007494942
Coefficient of variation (CV)-10.51088718
Kurtosis-0.1361721624
Mean-0.09585251224
Median Absolute Deviation (MAD)0.6284989763
Skewness0.1887599651
Sum-9.585251224
Variance1.015046058
MonotonicityNot monotonic
2025-03-29T15:55:19.271854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5333327227 1
 
1.0%
-0.82385739 1
 
1.0%
-0.3425490278 1
 
1.0%
-1.268952313 1
 
1.0%
-0.2500469918 1
 
1.0%
-0.3340927753 1
 
1.0%
1.289290873 1
 
1.0%
1.149377773 1
 
1.0%
1.10857628 1
 
1.0%
0.2956052436 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.49899746 1
1.0%
-2.033303066 1
1.0%
-1.906553177 1
1.0%
-1.904000082 1
1.0%
-1.781602429 1
1.0%
ValueCountFrequency (%)
2.63062328 1
1.0%
1.993628783 1
1.0%
1.864222609 1
1.0%
1.831377391 1
1.0%
1.827563252 1
1.0%

ps
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1501234003
Minimum-2.558287859
Maximum2.543038339
Zeros0
Zeros (%)0.0%
Negative56
Negative (%)56.0%
Memory size928.0 B
2025-03-29T15:55:19.418856image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.558287859
5-th percentile-1.811228297
Q1-0.8097088733
median-0.1032891879
Q30.4728059978
95-th percentile1.499874447
Maximum2.543038339
Range5.101326198
Interquartile range (IQR)1.282514871

Descriptive statistics

Standard deviation0.981142623
Coefficient of variation (CV)-6.535574206
Kurtosis0.01033592573
Mean-0.1501234003
Median Absolute Deviation (MAD)0.6481043237
Skewness0.08091809128
Sum-15.01234003
Variance0.9626408467
MonotonicityNot monotonic
2025-03-29T15:55:19.553818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1394886816 1
 
1.0%
1.494071144 1
 
1.0%
0.4692749039 1
 
1.0%
-0.8204029907 1
 
1.0%
0.7262547498 1
 
1.0%
-1.493477278 1
 
1.0%
-1.472535517 1
 
1.0%
-1.219101208 1
 
1.0%
-0.04899570117 1
 
1.0%
0.2324256996 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.558287859 1
1.0%
-2.425142914 1
1.0%
-1.98828498 1
1.0%
-1.876679067 1
1.0%
-1.815825 1
1.0%
ValueCountFrequency (%)
2.543038339 1
1.0%
1.828146799 1
1.0%
1.797347025 1
1.0%
1.671492718 1
1.0%
1.610137204 1
1.0%

pcf
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0402313977
Minimum-2.666566542
Maximum2.967698779
Zeros0
Zeros (%)0.0%
Negative47
Negative (%)47.0%
Memory size928.0 B
2025-03-29T15:55:19.673976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.666566542
5-th percentile-1.406654421
Q1-0.6521580687
median0.0500521067
Q30.6466310153
95-th percentile1.626911619
Maximum2.967698779
Range5.634265321
Interquartile range (IQR)1.298789084

Descriptive statistics

Standard deviation0.9978460883
Coefficient of variation (CV)24.80267019
Kurtosis0.387186547
Mean0.0402313977
Median Absolute Deviation (MAD)0.6467585186
Skewness0.1236052257
Sum4.02313977
Variance0.995696816
MonotonicityNot monotonic
2025-03-29T15:55:19.805338image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9236752133 1
 
1.0%
-0.6964105149 1
 
1.0%
-0.9235006229 1
 
1.0%
1.610007151 1
 
1.0%
0.733640786 1
 
1.0%
-1.263044641 1
 
1.0%
0.764442121 1
 
1.0%
0.3273032732 1
 
1.0%
1.626811567 1
 
1.0%
0.4418405449 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.666566542 1
1.0%
-2.268434433 1
1.0%
-1.880671344 1
1.0%
-1.518724296 1
1.0%
-1.486057687 1
1.0%
ValueCountFrequency (%)
2.967698779 1
1.0%
2.627907888 1
1.0%
1.843006057 1
1.0%
1.680085688 1
1.0%
1.628812614 1
1.0%

npm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008028716862
Minimum-2.03800097
Maximum3.101186718
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size928.0 B
2025-03-29T15:55:19.938738image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.03800097
5-th percentile-1.698489907
Q1-0.6804103726
median-0.001448265183
Q30.7223070462
95-th percentile1.391051242
Maximum3.101186718
Range5.139187687
Interquartile range (IQR)1.402717419

Descriptive statistics

Standard deviation0.9743505699
Coefficient of variation (CV)121.3581929
Kurtosis0.2855894311
Mean0.008028716862
Median Absolute Deviation (MAD)0.7019321329
Skewness0.1968072338
Sum0.8028716862
Variance0.9493590332
MonotonicityNot monotonic
2025-03-29T15:55:20.088755image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4883652496 1
 
1.0%
1.844353547 1
 
1.0%
1.01426633 1
 
1.0%
0.5662801968 1
 
1.0%
-0.3837391924 1
 
1.0%
-0.841834569 1
 
1.0%
-0.2143219282 1
 
1.0%
1.023042503 1
 
1.0%
-0.7094400402 1
 
1.0%
1.859826762 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.03800097 1
1.0%
-1.98789688 1
1.0%
-1.805852414 1
1.0%
-1.725496221 1
1.0%
-1.704400382 1
1.0%
ValueCountFrequency (%)
3.101186718 1
1.0%
2.40706365 1
1.0%
1.859826762 1
1.0%
1.844353547 1
1.0%
1.726873403 1
1.0%

opmbd
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06643064798
Minimum-2.942254412
Maximum2.634226418
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size928.0 B
2025-03-29T15:55:20.374756image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.942254412
5-th percentile-1.629568376
Q1-0.7439473881
median-0.01468109122
Q30.5967784683
95-th percentile1.458972299
Maximum2.634226418
Range5.57648083
Interquartile range (IQR)1.340725856

Descriptive statistics

Standard deviation1.025660302
Coefficient of variation (CV)-15.43956491
Kurtosis0.382811447
Mean-0.06643064798
Median Absolute Deviation (MAD)0.6723452503
Skewness0.06982571687
Sum-6.643064798
Variance1.051979055
MonotonicityNot monotonic
2025-03-29T15:55:20.505072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5158187306 1
 
1.0%
-0.2116223788 1
 
1.0%
0.9812465301 1
 
1.0%
0.185123391 1
 
1.0%
-0.5708573144 1
 
1.0%
-0.8233136365 1
 
1.0%
-0.6504890841 1
 
1.0%
-1.205727316 1
 
1.0%
-0.5280529075 1
 
1.0%
0.2277508272 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.942254412 1
1.0%
-2.357835743 1
1.0%
-2.276350537 1
1.0%
-1.84958851 1
1.0%
-1.644970677 1
1.0%
ValueCountFrequency (%)
2.634226418 1
1.0%
2.564260178 1
1.0%
2.137454446 1
1.0%
2.106611548 1
1.0%
1.620774083 1
1.0%

opmad
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08302846496
Minimum-2.565931567
Maximum1.701792102
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)57.0%
Memory size928.0 B
2025-03-29T15:55:20.638202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.565931567
5-th percentile-1.642381736
Q1-0.6762204849
median-0.07892280741
Q30.5270426577
95-th percentile1.404186869
Maximum1.701792102
Range4.267723669
Interquartile range (IQR)1.203263143

Descriptive statistics

Standard deviation0.9256414857
Coefficient of variation (CV)-11.14848367
Kurtosis-0.3013066828
Mean-0.08302846496
Median Absolute Deviation (MAD)0.5994045514
Skewness-0.1461101673
Sum-8.302846496
Variance0.8568121601
MonotonicityNot monotonic
2025-03-29T15:55:20.770615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.31069255 1
 
1.0%
0.9389509112 1
 
1.0%
-0.2544887459 1
 
1.0%
-0.04872430327 1
 
1.0%
-1.633865664 1
 
1.0%
1.171520695 1
 
1.0%
0.9504398451 1
 
1.0%
0.1527459643 1
 
1.0%
0.5783866765 1
 
1.0%
0.5099279848 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.565931567 1
1.0%
-2.132848033 1
1.0%
-1.932282721 1
1.0%
-1.8753784 1
1.0%
-1.80418711 1
1.0%
ValueCountFrequency (%)
1.701792102 1
1.0%
1.697470389 1
1.0%
1.69705466 1
1.0%
1.505930024 1
1.0%
1.475375764 1
1.0%

gpm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2439083203
Minimum-2.044178903
Maximum2.655760449
Zeros0
Zeros (%)0.0%
Negative58
Negative (%)58.0%
Memory size928.0 B
2025-03-29T15:55:20.897387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.044178903
5-th percentile-1.761282926
Q1-1.081563317
median-0.2093650586
Q30.4519037714
95-th percentile1.511893818
Maximum2.655760449
Range4.699939352
Interquartile range (IQR)1.533467089

Descriptive statistics

Standard deviation1.048597829
Coefficient of variation (CV)-4.299147433
Kurtosis-0.3131408372
Mean-0.2439083203
Median Absolute Deviation (MAD)0.8130725386
Skewness0.3566748361
Sum-24.39083203
Variance1.099557407
MonotonicityNot monotonic
2025-03-29T15:55:21.037258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6080786456 1
 
1.0%
-1.729610403 1
 
1.0%
-1.402712957 1
 
1.0%
1.18571641 1
 
1.0%
-0.8992316806 1
 
1.0%
-1.266841774 1
 
1.0%
-0.3786948025 1
 
1.0%
0.03666102839 1
 
1.0%
-0.5621239364 1
 
1.0%
-1.237422447 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.044178903 1
1.0%
-2.013669571 1
1.0%
-1.996970886 1
1.0%
-1.93171638 1
1.0%
-1.891239742 1
1.0%
ValueCountFrequency (%)
2.655760449 1
1.0%
2.33597917 1
1.0%
2.07118746 1
1.0%
1.827314706 1
1.0%
1.674244133 1
1.0%

ptpm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.110645214
Minimum-2.142944562
Maximum2.758777248
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:21.160941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.142944562
5-th percentile-1.348286611
Q1-0.5314936485
median0.0381706063
Q30.7585594473
95-th percentile1.727763463
Maximum2.758777248
Range4.90172181
Interquartile range (IQR)1.290053096

Descriptive statistics

Standard deviation0.9240216008
Coefficient of variation (CV)8.351211658
Kurtosis0.1870591038
Mean0.110645214
Median Absolute Deviation (MAD)0.6407616605
Skewness0.2263727446
Sum11.0645214
Variance0.8538159187
MonotonicityNot monotonic
2025-03-29T15:55:21.305822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6786976611 1
 
1.0%
-0.0941625936 1
 
1.0%
-0.2282379932 1
 
1.0%
0.7594906865 1
 
1.0%
0.7582490342 1
 
1.0%
1.004023972 1
 
1.0%
-0.0006862467745 1
 
1.0%
0.001059167962 1
 
1.0%
-0.5813090271 1
 
1.0%
-0.6713311035 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.142944562 1
1.0%
-1.870440889 1
1.0%
-1.756410706 1
1.0%
-1.400332345 1
1.0%
-1.397812002 1
1.0%
ValueCountFrequency (%)
2.758777248 1
1.0%
2.264614031 1
1.0%
2.085124461 1
1.0%
1.902908966 1
1.0%
1.830368729 1
1.0%

cfm
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02477524721
Minimum-3.100518315
Maximum2.538908374
Zeros0
Zeros (%)0.0%
Negative54
Negative (%)54.0%
Memory size928.0 B
2025-03-29T15:55:21.424524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.100518315
5-th percentile-1.394344817
Q1-0.7093272828
median-0.1413493431
Q30.6828663506
95-th percentile1.896097944
Maximum2.538908374
Range5.639426689
Interquartile range (IQR)1.392193633

Descriptive statistics

Standard deviation1.079681727
Coefficient of variation (CV)-43.5790496
Kurtosis0.09680334561
Mean-0.02477524721
Median Absolute Deviation (MAD)0.5847537383
Skewness0.1174204849
Sum-2.477524721
Variance1.165712632
MonotonicityNot monotonic
2025-03-29T15:55:21.566315image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.288532339 1
 
1.0%
0.1527016994 1
 
1.0%
-0.2088590496 1
 
1.0%
0.3465510271 1
 
1.0%
-0.6465282198 1
 
1.0%
-0.000652542097 1
 
1.0%
-0.9418245437 1
 
1.0%
-0.0417324553 1
 
1.0%
0.1080019382 1
 
1.0%
0.3108449718 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.100518315 1
1.0%
-2.384946381 1
1.0%
-2.228680184 1
1.0%
-1.859383447 1
1.0%
-1.830042453 1
1.0%
ValueCountFrequency (%)
2.538908374 1
1.0%
2.220870607 1
1.0%
2.22081912 1
1.0%
1.915750565 1
1.0%
1.908959741 1
1.0%

roa
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04416630736
Minimum-2.332545341
Maximum2.535479419
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size928.0 B
2025-03-29T15:55:21.700896image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.332545341
5-th percentile-1.549747168
Q1-0.5922761214
median-0.003191365105
Q30.7133183612
95-th percentile1.865150147
Maximum2.535479419
Range4.86802476
Interquartile range (IQR)1.305594483

Descriptive statistics

Standard deviation1.043179276
Coefficient of variation (CV)23.61934557
Kurtosis-0.1825586408
Mean0.04416630736
Median Absolute Deviation (MAD)0.6963356347
Skewness0.1263243535
Sum4.416630736
Variance1.088223002
MonotonicityNot monotonic
2025-03-29T15:55:21.838071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.752647016 1
 
1.0%
0.2544927742 1
 
1.0%
0.01181431732 1
 
1.0%
1.927386843 1
 
1.0%
0.02749716877 1
 
1.0%
-0.2759501654 1
 
1.0%
0.2633674285 1
 
1.0%
-0.9482466267 1
 
1.0%
-1.644641769 1
 
1.0%
0.6825849884 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.332545341 1
1.0%
-2.279729805 1
1.0%
-1.861816171 1
1.0%
-1.752647016 1
1.0%
-1.644641769 1
1.0%
ValueCountFrequency (%)
2.535479419 1
1.0%
2.435992676 1
1.0%
2.355860201 1
1.0%
2.230686513 1
1.0%
1.927386843 1
1.0%

roe
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1696450515
Minimum-1.778348311
Maximum2.934550334
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:55:21.971354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.778348311
5-th percentile-1.280186757
Q1-0.5478967279
median0.2065698687
Q30.8347968708
95-th percentile1.64149668
Maximum2.934550334
Range4.712898645
Interquartile range (IQR)1.382693599

Descriptive statistics

Standard deviation0.9752550533
Coefficient of variation (CV)5.748797531
Kurtosis-0.4060959471
Mean0.1696450515
Median Absolute Deviation (MAD)0.7473905025
Skewness0.2194067857
Sum16.96450515
Variance0.951122419
MonotonicityNot monotonic
2025-03-29T15:55:22.104694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.061737532 1
 
1.0%
-1.22482509 1
 
1.0%
0.3790710474 1
 
1.0%
0.9130600942 1
 
1.0%
-1.194407518 1
 
1.0%
-0.5502583827 1
 
1.0%
0.4536352921 1
 
1.0%
-0.2455201176 1
 
1.0%
1.487838466 1
 
1.0%
-0.8321786229 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.778348311 1
1.0%
-1.645556639 1
1.0%
-1.503824409 1
1.0%
-1.438673997 1
1.0%
-1.433854458 1
1.0%
ValueCountFrequency (%)
2.934550334 1
1.0%
2.311076341 1
1.0%
1.999615817 1
1.0%
1.834409169 1
1.0%
1.647920165 1
1.0%

roce
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2515764964
Minimum-2.66621791
Maximum2.559977906
Zeros0
Zeros (%)0.0%
Negative67
Negative (%)67.0%
Memory size928.0 B
2025-03-29T15:55:22.241458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.66621791
5-th percentile-1.651354325
Q1-0.8186338798
median-0.2458374672
Q30.2691053405
95-th percentile1.285258011
Maximum2.559977906
Range5.226195816
Interquartile range (IQR)1.08773922

Descriptive statistics

Standard deviation0.9228493781
Coefficient of variation (CV)-3.668265483
Kurtosis0.343422978
Mean-0.2515764964
Median Absolute Deviation (MAD)0.564175954
Skewness0.1591095618
Sum-25.15764964
Variance0.8516509747
MonotonicityNot monotonic
2025-03-29T15:55:22.374021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.0360683 1
 
1.0%
-0.06646973137 1
 
1.0%
1.10465507 1
 
1.0%
0.857562682 1
 
1.0%
0.5652933167 1
 
1.0%
1.749902984 1
 
1.0%
0.2964309332 1
 
1.0%
-0.07505075452 1
 
1.0%
-0.6000618783 1
 
1.0%
-0.4004545922 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.66621791 1
1.0%
-2.29986066 1
1.0%
-1.93783132 1
1.0%
-1.808472183 1
1.0%
-1.759254276 1
1.0%
ValueCountFrequency (%)
2.559977906 1
1.0%
1.751825452 1
1.0%
1.749902984 1
1.0%
1.400299069 1
1.0%
1.38534584 1
1.0%

aftret_eq
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0370855496
Minimum-2.298758285
Maximum2.048813619
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:55:22.504349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.298758285
5-th percentile-1.747004206
Q1-0.7482066594
median0.1404371582
Q30.8608654298
95-th percentile1.78540123
Maximum2.048813619
Range4.347571904
Interquartile range (IQR)1.609072089

Descriptive statistics

Standard deviation1.050671472
Coefficient of variation (CV)28.33102067
Kurtosis-0.6865154611
Mean0.0370855496
Median Absolute Deviation (MAD)0.8326747002
Skewness-0.154368798
Sum3.70855496
Variance1.103910543
MonotonicityNot monotonic
2025-03-29T15:55:22.646683image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4086936161 1
 
1.0%
-0.7326537505 1
 
1.0%
-1.160137815 1
 
1.0%
-0.05790225139 1
 
1.0%
-0.3259579927 1
 
1.0%
-0.8906034023 1
 
1.0%
-0.1818510445 1
 
1.0%
0.8593952043 1
 
1.0%
0.7592002594 1
 
1.0%
2.048813619 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.298758285 1
1.0%
-2.283961224 1
1.0%
-2.102189551 1
1.0%
-1.941749442 1
1.0%
-1.921769476 1
1.0%
ValueCountFrequency (%)
2.048813619 1
1.0%
1.957489423 1
1.0%
1.948801565 1
1.0%
1.81879751 1
1.0%
1.787690731 1
1.0%

aftret_invcapx
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04531828752
Minimum-1.993091192
Maximum2.350986616
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:55:22.770924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.993091192
5-th percentile-1.397400313
Q1-0.8143855553
median-0.1057902904
Q30.6554179747
95-th percentile1.514088669
Maximum2.350986616
Range4.344077808
Interquartile range (IQR)1.46980353

Descriptive statistics

Standard deviation0.940829553
Coefficient of variation (CV)-20.76048334
Kurtosis-0.3700508218
Mean-0.04531828752
Median Absolute Deviation (MAD)0.742884872
Skewness0.2179488491
Sum-4.531828752
Variance0.8851602478
MonotonicityNot monotonic
2025-03-29T15:55:22.921129image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6520381052 1
 
1.0%
0.2309316001 1
 
1.0%
2.256394388 1
 
1.0%
1.097248787 1
 
1.0%
-1.394030802 1
 
1.0%
-0.5224007154 1
 
1.0%
0.6820280576 1
 
1.0%
-1.461421036 1
 
1.0%
0.2316801828 1
 
1.0%
-1.273930027 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.993091192 1
1.0%
-1.903331999 1
1.0%
-1.861394754 1
1.0%
-1.61089842 1
1.0%
-1.461421036 1
1.0%
ValueCountFrequency (%)
2.350986616 1
1.0%
2.256394388 1
1.0%
2.021316143 1
1.0%
1.630660987 1
1.0%
1.517869313 1
1.0%

aftret_equity
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2237293219
Minimum-1.997992078
Maximum2.19153676
Zeros0
Zeros (%)0.0%
Negative44
Negative (%)44.0%
Memory size928.0 B
2025-03-29T15:55:23.204123image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.997992078
5-th percentile-1.337498663
Q1-0.397977969
median0.123298415
Q30.9907925491
95-th percentile1.720984959
Maximum2.19153676
Range4.189528838
Interquartile range (IQR)1.388770518

Descriptive statistics

Standard deviation0.9232277621
Coefficient of variation (CV)4.126538954
Kurtosis-0.6145165932
Mean0.2237293219
Median Absolute Deviation (MAD)0.7321076559
Skewness-0.1197079125
Sum22.37293219
Variance0.8523495006
MonotonicityNot monotonic
2025-03-29T15:55:23.340593image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4404483467 1
 
1.0%
-0.8865488301 1
 
1.0%
-0.8601676918 1
 
1.0%
0.218651465 1
 
1.0%
0.1046459461 1
 
1.0%
0.7690223458 1
 
1.0%
0.7424581478 1
 
1.0%
0.4154906503 1
 
1.0%
1.456978286 1
 
1.0%
-0.273114563 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.997992078 1
1.0%
-1.806393874 1
1.0%
-1.648984558 1
1.0%
-1.469573024 1
1.0%
-1.43739323 1
1.0%
ValueCountFrequency (%)
2.19153676 1
1.0%
1.862595099 1
1.0%
1.797322871 1
1.0%
1.785199079 1
1.0%
1.757259443 1
1.0%

GProf
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01753471826
Minimum-2.623149906
Maximum2.461319394
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size928.0 B
2025-03-29T15:55:23.470564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.623149906
5-th percentile-1.550859232
Q1-0.5062420943
median0.01227447987
Q30.6194013877
95-th percentile1.430095787
Maximum2.461319394
Range5.084469299
Interquartile range (IQR)1.125643482

Descriptive statistics

Standard deviation0.9647253448
Coefficient of variation (CV)55.01801228
Kurtosis0.28587809
Mean0.01753471826
Median Absolute Deviation (MAD)0.591973711
Skewness-0.1255736829
Sum1.753471826
Variance0.9306949909
MonotonicityNot monotonic
2025-03-29T15:55:23.604129image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5468166708 1
 
1.0%
1.166209151 1
 
1.0%
-0.5046692564 1
 
1.0%
0.4072557815 1
 
1.0%
-0.3684651709 1
 
1.0%
-0.606069192 1
 
1.0%
0.6504395122 1
 
1.0%
0.2222058236 1
 
1.0%
0.4854944953 1
 
1.0%
-0.763865393 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.623149906 1
1.0%
-2.339693383 1
1.0%
-2.21523575 1
1.0%
-1.7734694 1
1.0%
-1.581573365 1
1.0%
ValueCountFrequency (%)
2.461319394 1
1.0%
2.399253308 1
1.0%
1.725495362 1
1.0%
1.528103263 1
1.0%
1.464268456 1
1.0%

equity_invcap
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1412615916
Minimum-2.460748198
Maximum2.712259107
Zeros0
Zeros (%)0.0%
Negative54
Negative (%)54.0%
Memory size928.0 B
2025-03-29T15:55:23.738050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.460748198
5-th percentile-1.794349148
Q1-0.850388593
median-0.1103504471
Q30.4574541185
95-th percentile1.494426742
Maximum2.712259107
Range5.173007305
Interquartile range (IQR)1.307842712

Descriptive statistics

Standard deviation1.053533016
Coefficient of variation (CV)-7.458028782
Kurtosis0.009714959362
Mean-0.1412615916
Median Absolute Deviation (MAD)0.6402788632
Skewness0.20561132
Sum-14.12615916
Variance1.109931815
MonotonicityNot monotonic
2025-03-29T15:55:23.869268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1097746391 1
 
1.0%
-0.4866129897 1
 
1.0%
0.2154485389 1
 
1.0%
-0.8256129575 1
 
1.0%
-0.536132713 1
 
1.0%
0.7647322862 1
 
1.0%
-1.257997877 1
 
1.0%
0.0909895967 1
 
1.0%
-0.9478506247 1
 
1.0%
1.076160196 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.460748198 1
1.0%
-2.381221265 1
1.0%
-2.229125896 1
1.0%
-2.00996411 1
1.0%
-1.884289186 1
1.0%
ValueCountFrequency (%)
2.712259107 1
1.0%
2.410384158 1
1.0%
2.208096296 1
1.0%
2.131227476 1
1.0%
1.622261372 1
1.0%

debt_invcap
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1986503978
Minimum-2.93093124
Maximum2.807455832
Zeros0
Zeros (%)0.0%
Negative44
Negative (%)44.0%
Memory size928.0 B
2025-03-29T15:55:23.987204image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.93093124
5-th percentile-1.430365608
Q1-0.4975150604
median0.2394130999
Q31.024351568
95-th percentile1.668966806
Maximum2.807455832
Range5.738387072
Interquartile range (IQR)1.521866628

Descriptive statistics

Standard deviation1.058233482
Coefficient of variation (CV)5.32711484
Kurtosis0.3197722509
Mean0.1986503978
Median Absolute Deviation (MAD)0.7839048757
Skewness-0.2575275146
Sum19.86503978
Variance1.119858102
MonotonicityNot monotonic
2025-03-29T15:55:24.129170image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.059235048 1
 
1.0%
0.06334108708 1
 
1.0%
0.6830014645 1
 
1.0%
-0.386360127 1
 
1.0%
-0.5669050163 1
 
1.0%
-1.08657161 1
 
1.0%
-0.4808157875 1
 
1.0%
-0.3409146029 1
 
1.0%
1.848832499 1
 
1.0%
0.9267607076 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.93093124 1
1.0%
-2.842206877 1
1.0%
-1.698032274 1
1.0%
-1.691057393 1
1.0%
-1.515446326 1
1.0%
ValueCountFrequency (%)
2.807455832 1
1.0%
2.657076086 1
1.0%
1.848832499 1
1.0%
1.696657303 1
1.0%
1.694625609 1
1.0%

totdebt_invcap
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05894889601
Minimum-2.424178004
Maximum3.065474527
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:24.260845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.424178004
5-th percentile-1.233111954
Q1-0.6682738028
median0.0268854776
Q30.5914408017
95-th percentile1.86887176
Maximum3.065474527
Range5.489652531
Interquartile range (IQR)1.259714605

Descriptive statistics

Standard deviation0.9748592521
Coefficient of variation (CV)16.53736233
Kurtosis0.5186522041
Mean0.05894889601
Median Absolute Deviation (MAD)0.6368869935
Skewness0.5255646243
Sum5.894889601
Variance0.9503505615
MonotonicityNot monotonic
2025-03-29T15:55:24.390200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02647857854 1
 
1.0%
0.9992107079 1
 
1.0%
-2.424178004 1
 
1.0%
0.7956444585 1
 
1.0%
0.2715300928 1
 
1.0%
2.185697889 1
 
1.0%
0.6611842263 1
 
1.0%
0.5120196043 1
 
1.0%
0.6796846464 1
 
1.0%
0.02729237666 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.424178004 1
1.0%
-1.681839436 1
1.0%
-1.537686015 1
1.0%
-1.395110344 1
1.0%
-1.273035895 1
1.0%
ValueCountFrequency (%)
3.065474527 1
1.0%
2.654733897 1
1.0%
2.185697889 1
1.0%
1.993503276 1
1.0%
1.931702079 1
1.0%

capital_ratio
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1659904353
Minimum-2.30456004
Maximum2.173940051
Zeros0
Zeros (%)0.0%
Negative44
Negative (%)44.0%
Memory size928.0 B
2025-03-29T15:55:24.520371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.30456004
5-th percentile-1.296080319
Q1-0.5284708802
median0.08982732337
Q30.963360684
95-th percentile1.790386753
Maximum2.173940051
Range4.478500091
Interquartile range (IQR)1.491831564

Descriptive statistics

Standard deviation0.9642193495
Coefficient of variation (CV)5.808885
Kurtosis-0.5871865841
Mean0.1659904353
Median Absolute Deviation (MAD)0.7589042275
Skewness-0.002972143508
Sum16.59904353
Variance0.929718954
MonotonicityNot monotonic
2025-03-29T15:55:24.659684image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.865921241 1
 
1.0%
-0.8717476353 1
 
1.0%
-0.509260333 1
 
1.0%
0.3724806632 1
 
1.0%
-0.08021525533 1
 
1.0%
0.633533932 1
 
1.0%
-0.8889694517 1
 
1.0%
2.106869524 1
 
1.0%
-0.5044110671 1
 
1.0%
-1.173729147 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.30456004 1
1.0%
-1.759977892 1
1.0%
-1.623840338 1
1.0%
-1.535849515 1
1.0%
-1.330273797 1
1.0%
ValueCountFrequency (%)
2.173940051 1
1.0%
2.106869524 1
1.0%
1.923840495 1
1.0%
1.865921241 1
1.0%
1.824287505 1
1.0%

cash_lt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03981044774
Minimum-2.819685877
Maximum2.371321808
Zeros0
Zeros (%)0.0%
Negative44
Negative (%)44.0%
Memory size928.0 B
2025-03-29T15:55:24.800467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.819685877
5-th percentile-1.33057122
Q1-0.6163102783
median0.09928548754
Q30.5769171025
95-th percentile1.451074912
Maximum2.371321808
Range5.191007685
Interquartile range (IQR)1.193227381

Descriptive statistics

Standard deviation0.9579594586
Coefficient of variation (CV)24.06301644
Kurtosis0.08868223833
Mean0.03981044774
Median Absolute Deviation (MAD)0.6361520642
Skewness-0.04905985978
Sum3.981044774
Variance0.9176863243
MonotonicityNot monotonic
2025-03-29T15:55:24.936442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.569944932 1
 
1.0%
-0.9792313202 1
 
1.0%
0.2280852948 1
 
1.0%
0.02677173858 1
 
1.0%
0.05263428917 1
 
1.0%
-0.3774047459 1
 
1.0%
-0.3915393978 1
 
1.0%
-2.819685877 1
 
1.0%
0.7482212192 1
 
1.0%
0.09452454981 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.819685877 1
1.0%
-1.877683604 1
1.0%
-1.747242188 1
1.0%
-1.688642735 1
1.0%
-1.576764293 1
1.0%
ValueCountFrequency (%)
2.371321808 1
1.0%
2.311287865 1
1.0%
2.082283256 1
1.0%
1.583238608 1
1.0%
1.520879262 1
1.0%

debt_at
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2038932534
Minimum-2.257836789
Maximum2.312863036
Zeros0
Zeros (%)0.0%
Negative67
Negative (%)67.0%
Memory size928.0 B
2025-03-29T15:55:25.095581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.257836789
5-th percentile-1.50251824
Q1-0.872506697
median-0.2744849971
Q30.3903325086
95-th percentile1.464055715
Maximum2.312863036
Range4.570699824
Interquartile range (IQR)1.262839206

Descriptive statistics

Standard deviation0.9228633805
Coefficient of variation (CV)-4.526208519
Kurtosis0.1459148702
Mean-0.2038932534
Median Absolute Deviation (MAD)0.6080554141
Skewness0.4461888907
Sum-20.38932534
Variance0.8516768191
MonotonicityNot monotonic
2025-03-29T15:55:25.232174image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.17837461 1
 
1.0%
1.460656836 1
 
1.0%
-0.04533165859 1
 
1.0%
-0.7669651172 1
 
1.0%
-1.201935932 1
 
1.0%
-0.8789654136 1
 
1.0%
-0.6173090231 1
 
1.0%
-0.9653942849 1
 
1.0%
0.695842917 1
 
1.0%
-1.075336854 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.257836789 1
1.0%
-2.224753348 1
1.0%
-1.888429469 1
1.0%
-1.585585882 1
1.0%
-1.548088025 1
1.0%
ValueCountFrequency (%)
2.312863036 1
1.0%
2.17837461 1
1.0%
1.720496524 1
1.0%
1.672286245 1
1.0%
1.528634416 1
1.0%

debt_ebitda
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04158857203
Minimum-2.358713848
Maximum2.291805578
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:55:25.363716image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.358713848
5-th percentile-1.665441688
Q1-0.6959699796
median-0.03149518249
Q30.6149200174
95-th percentile1.582370998
Maximum2.291805578
Range4.650519426
Interquartile range (IQR)1.310889997

Descriptive statistics

Standard deviation1.037564925
Coefficient of variation (CV)-24.94831813
Kurtosis-0.4572349906
Mean-0.04158857203
Median Absolute Deviation (MAD)0.6689146606
Skewness-0.02325851604
Sum-4.158857203
Variance1.076540975
MonotonicityNot monotonic
2025-03-29T15:55:25.504478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2330340783 1
 
1.0%
0.2063968897 1
 
1.0%
-0.7406959375 1
 
1.0%
1.536248226 1
 
1.0%
-0.3021809007 1
 
1.0%
0.7985697343 1
 
1.0%
0.7611960008 1
 
1.0%
-1.609507297 1
 
1.0%
-0.497375873 1
 
1.0%
1.662332745 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.358713848 1
1.0%
-2.261950305 1
1.0%
-2.185622594 1
1.0%
-1.943309376 1
1.0%
-1.707686041 1
1.0%
ValueCountFrequency (%)
2.291805578 1
1.0%
2.179345399 1
1.0%
1.747662556 1
1.0%
1.697789191 1
1.0%
1.662332745 1
1.0%

lt_debt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08926369249
Minimum-2.492690221
Maximum3.184306569
Zeros0
Zeros (%)0.0%
Negative55
Negative (%)55.0%
Memory size928.0 B
2025-03-29T15:55:25.636709image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.492690221
5-th percentile-2.010072974
Q1-0.8623423345
median-0.1422490908
Q30.6213321999
95-th percentile1.886635568
Maximum3.184306569
Range5.67699679
Interquartile range (IQR)1.483674534

Descriptive statistics

Standard deviation1.158892332
Coefficient of variation (CV)-12.98279625
Kurtosis0.1433193646
Mean-0.08926369249
Median Absolute Deviation (MAD)0.7582291396
Skewness0.2481195788
Sum-8.926369249
Variance1.343031437
MonotonicityNot monotonic
2025-03-29T15:55:25.919784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.005129402 1
 
1.0%
-2.13344186 1
 
1.0%
1.585196345 1
 
1.0%
0.2888541489 1
 
1.0%
0.1884801585 1
 
1.0%
-0.3909250974 1
 
1.0%
0.01414394603 1
 
1.0%
-1.125384739 1
 
1.0%
1.142412135 1
 
1.0%
-0.903595539 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.492690221 1
1.0%
-2.391129596 1
1.0%
-2.216528597 1
1.0%
-2.209351485 1
1.0%
-2.13344186 1
1.0%
ValueCountFrequency (%)
3.184306569 1
1.0%
2.80868745 1
1.0%
2.33477952 1
1.0%
2.240984053 1
1.0%
2.044965879 1
1.0%

cash_debt
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03159603881
Minimum-2.310456739
Maximum2.505685318
Zeros0
Zeros (%)0.0%
Negative47
Negative (%)47.0%
Memory size928.0 B
2025-03-29T15:55:26.056809image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.310456739
5-th percentile-1.501155894
Q1-0.6741267545
median0.08883436294
Q30.6607915494
95-th percentile1.578716789
Maximum2.505685318
Range4.816142057
Interquartile range (IQR)1.334918304

Descriptive statistics

Standard deviation0.9741404307
Coefficient of variation (CV)30.83109362
Kurtosis-0.1592864045
Mean0.03159603881
Median Absolute Deviation (MAD)0.639083949
Skewness-0.0009384105672
Sum3.159603881
Variance0.9489495788
MonotonicityNot monotonic
2025-03-29T15:55:26.189891image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1689222716 1
 
1.0%
0.1815874107 1
 
1.0%
1.270654878 1
 
1.0%
0.1581830028 1
 
1.0%
-0.02933760529 1
 
1.0%
-0.28967991 1
 
1.0%
0.5687647962 1
 
1.0%
-2.310456739 1
 
1.0%
-1.084542777 1
 
1.0%
1.453509302 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.310456739 1
1.0%
-2.081664529 1
1.0%
-1.908112392 1
1.0%
-1.730986113 1
1.0%
-1.504033365 1
1.0%
ValueCountFrequency (%)
2.505685318 1
1.0%
2.257396758 1
1.0%
1.943945897 1
1.0%
1.8637982 1
1.0%
1.737123857 1
1.0%

lt_ppent
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05610472264
Minimum-2.537672182
Maximum2.086421715
Zeros0
Zeros (%)0.0%
Negative51
Negative (%)51.0%
Memory size928.0 B
2025-03-29T15:55:26.319808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.537672182
5-th percentile-1.367197858
Q1-0.6517543995
median-0.0351595847
Q30.4714414438
95-th percentile1.419908203
Maximum2.086421715
Range4.624093897
Interquartile range (IQR)1.123195843

Descriptive statistics

Standard deviation0.8796799574
Coefficient of variation (CV)-15.67924973
Kurtosis-0.01051247505
Mean-0.05610472264
Median Absolute Deviation (MAD)0.5564651134
Skewness0.08159781784
Sum-5.610472264
Variance0.7738368275
MonotonicityNot monotonic
2025-03-29T15:55:26.458743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4803665241 1
 
1.0%
0.924246004 1
 
1.0%
0.2306659199 1
 
1.0%
0.1019516789 1
 
1.0%
-1.270082934 1
 
1.0%
-0.7652429626 1
 
1.0%
0.5652234729 1
 
1.0%
-0.03238447376 1
 
1.0%
-1.495087252 1
 
1.0%
-0.07475093709 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.537672182 1
1.0%
-1.618911697 1
1.0%
-1.501106992 1
1.0%
-1.495087252 1
1.0%
-1.398661905 1
1.0%
ValueCountFrequency (%)
2.086421715 1
1.0%
1.936389606 1
1.0%
1.767386333 1
1.0%
1.739504597 1
1.0%
1.67384426 1
1.0%

dltt_be
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01101175989
Minimum-2.214916704
Maximum2.158511967
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:26.595393image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.214916704
5-th percentile-1.714462847
Q1-0.6570101916
median0.03328930861
Q30.6127194358
95-th percentile1.467095189
Maximum2.158511967
Range4.373428671
Interquartile range (IQR)1.269729627

Descriptive statistics

Standard deviation0.9631816817
Coefficient of variation (CV)-87.46846019
Kurtosis-0.3031561414
Mean-0.01101175989
Median Absolute Deviation (MAD)0.6525462202
Skewness-0.006471933742
Sum-1.101175989
Variance0.9277189519
MonotonicityNot monotonic
2025-03-29T15:55:26.731829image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3734365244 1
 
1.0%
0.3105592839 1
 
1.0%
-0.9369229835 1
 
1.0%
0.4742101125 1
 
1.0%
0.23708372 1
 
1.0%
-1.078633538 1
 
1.0%
-0.1208634689 1
 
1.0%
2.158511967 1
 
1.0%
0.3124374623 1
 
1.0%
-0.8976265418 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.214916704 1
1.0%
-1.909895168 1
1.0%
-1.809961931 1
1.0%
-1.744959219 1
1.0%
-1.718480026 1
1.0%
ValueCountFrequency (%)
2.158511967 1
1.0%
2.050768819 1
1.0%
2.047543609 1
1.0%
1.979177268 1
1.0%
1.865345666 1
1.0%

debt_assets
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0339311844
Minimum-3.199760562
Maximum1.768070001
Zeros0
Zeros (%)0.0%
Negative44
Negative (%)44.0%
Memory size928.0 B
2025-03-29T15:55:26.859963image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.199760562
5-th percentile-1.350576984
Q1-0.6780815098
median0.1536556397
Q30.6230705575
95-th percentile1.385687011
Maximum1.768070001
Range4.967830564
Interquartile range (IQR)1.301152067

Descriptive statistics

Standard deviation0.9145580054
Coefficient of variation (CV)26.95331806
Kurtosis0.8312375819
Mean0.0339311844
Median Absolute Deviation (MAD)0.5694896635
Skewness-0.5922556981
Sum3.39311844
Variance0.8364163453
MonotonicityNot monotonic
2025-03-29T15:55:27.002870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1324250427 1
 
1.0%
-1.34972291 1
 
1.0%
0.8963874082 1
 
1.0%
1.011545361 1
 
1.0%
0.7353837966 1
 
1.0%
1.120670224 1
 
1.0%
-2.311163845 1
 
1.0%
0.533982406 1
 
1.0%
-0.2530520813 1
 
1.0%
0.2209902477 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.199760562 1
1.0%
-2.311163845 1
1.0%
-2.11370439 1
1.0%
-1.674702887 1
1.0%
-1.366804395 1
1.0%
ValueCountFrequency (%)
1.768070001 1
1.0%
1.753552327 1
1.0%
1.745103271 1
1.0%
1.735880899 1
1.0%
1.627442953 1
1.0%

debt_capital
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08009655889
Minimum-2.764478336
Maximum3.198398193
Zeros0
Zeros (%)0.0%
Negative54
Negative (%)54.0%
Memory size928.0 B
2025-03-29T15:55:27.135861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.764478336
5-th percentile-1.431339118
Q1-0.59928606
median-0.04227473632
Q30.6668182358
95-th percentile1.817073968
Maximum3.198398193
Range5.962876529
Interquartile range (IQR)1.266104296

Descriptive statistics

Standard deviation1.03415278
Coefficient of variation (CV)12.91132596
Kurtosis0.820398071
Mean0.08009655889
Median Absolute Deviation (MAD)0.6003620659
Skewness0.4664138173
Sum8.009655889
Variance1.069471972
MonotonicityNot monotonic
2025-03-29T15:55:27.269537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7160066093 1
 
1.0%
-0.5680015584 1
 
1.0%
-0.6296558983 1
 
1.0%
1.636484186 1
 
1.0%
-0.6689208439 1
 
1.0%
1.246107155 1
 
1.0%
0.6649947266 1
 
1.0%
0.8245448154 1
 
1.0%
0.4205502447 1
 
1.0%
0.2157360186 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.764478336 1
1.0%
-2.033553788 1
1.0%
-1.639287738 1
1.0%
-1.539685834 1
1.0%
-1.438420169 1
1.0%
ValueCountFrequency (%)
3.198398193 1
1.0%
2.966365795 1
1.0%
2.55956225 1
1.0%
2.322069101 1
1.0%
1.863027847 1
1.0%

de_ratio
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02378606139
Minimum-1.840672304
Maximum2.378967222
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:55:27.415890image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.840672304
5-th percentile-1.325585039
Q1-0.6300712347
median-0.04783594133
Q30.5803061409
95-th percentile1.798305289
Maximum2.378967222
Range4.219639526
Interquartile range (IQR)1.210377376

Descriptive statistics

Standard deviation0.9399716296
Coefficient of variation (CV)39.51775009
Kurtosis-0.3473635588
Mean0.02378606139
Median Absolute Deviation (MAD)0.6067778024
Skewness0.3478046167
Sum2.378606139
Variance0.8835466645
MonotonicityNot monotonic
2025-03-29T15:55:27.552202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7477440313 1
 
1.0%
0.4555011511 1
 
1.0%
-1.161661197 1
 
1.0%
-0.51271317 1
 
1.0%
1.110350494 1
 
1.0%
-0.4765540837 1
 
1.0%
-0.5300081621 1
 
1.0%
-1.123326181 1
 
1.0%
-0.5254533262 1
 
1.0%
2.044914469 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.840672304 1
1.0%
-1.787524872 1
1.0%
-1.75993081 1
1.0%
-1.490853592 1
1.0%
-1.400654609 1
1.0%
ValueCountFrequency (%)
2.378967222 1
1.0%
2.044914469 1
1.0%
1.949709325 1
1.0%
1.920351402 1
1.0%
1.810061711 1
1.0%

at_turn
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07192076156
Minimum-2.141135716
Maximum2.055848532
Zeros0
Zeros (%)0.0%
Negative51
Negative (%)51.0%
Memory size928.0 B
2025-03-29T15:55:27.684696image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.141135716
5-th percentile-1.253544769
Q1-0.5369918988
median-0.03691368666
Q30.8006638993
95-th percentile1.643772748
Maximum2.055848532
Range4.196984248
Interquartile range (IQR)1.337655798

Descriptive statistics

Standard deviation0.9033574285
Coefficient of variation (CV)12.56045416
Kurtosis-0.3945411735
Mean0.07192076156
Median Absolute Deviation (MAD)0.5682931005
Skewness0.1659888945
Sum7.192076156
Variance0.8160546435
MonotonicityNot monotonic
2025-03-29T15:55:27.818903image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.8102145668 1
 
1.0%
1.099228646 1
 
1.0%
1.449328608 1
 
1.0%
-1.207227906 1
 
1.0%
-0.5625784026 1
 
1.0%
-0.2526057292 1
 
1.0%
0.3947786257 1
 
1.0%
-0.2744043456 1
 
1.0%
-0.8123013487 1
 
1.0%
0.641848934 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.141135716 1
1.0%
-1.813287948 1
1.0%
-1.601776945 1
1.0%
-1.578692679 1
1.0%
-1.431452291 1
1.0%
ValueCountFrequency (%)
2.055848532 1
1.0%
1.917322994 1
1.0%
1.878222385 1
1.0%
1.712342325 1
1.0%
1.677227076 1
1.0%

rect_turn
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1057769846
Minimum-1.918080665
Maximum2.24175983
Zeros0
Zeros (%)0.0%
Negative46
Negative (%)46.0%
Memory size928.0 B
2025-03-29T15:55:27.958297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1.918080665
5-th percentile-1.133511775
Q1-0.4747844848
median0.06011013949
Q30.5994985965
95-th percentile1.675085439
Maximum2.24175983
Range4.159840495
Interquartile range (IQR)1.074283081

Descriptive statistics

Standard deviation0.8366318919
Coefficient of variation (CV)7.909394423
Kurtosis-0.08721659011
Mean0.1057769846
Median Absolute Deviation (MAD)0.5365130447
Skewness0.2282409997
Sum10.57769846
Variance0.6999529225
MonotonicityNot monotonic
2025-03-29T15:55:28.102456image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3081137166 1
 
1.0%
-0.1247563584 1
 
1.0%
-0.3084051493 1
 
1.0%
0.6675142354 1
 
1.0%
0.9423007227 1
 
1.0%
0.01275722906 1
 
1.0%
0.5894940094 1
 
1.0%
-0.2497809852 1
 
1.0%
-1.000190728 1
 
1.0%
0.548904334 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-1.918080665 1
1.0%
-1.791015521 1
1.0%
-1.341159712 1
1.0%
-1.24002123 1
1.0%
-1.212691248 1
1.0%
ValueCountFrequency (%)
2.24175983 1
1.0%
1.884316844 1
1.0%
1.864499723 1
1.0%
1.796431334 1
1.0%
1.737672383 1
1.0%

pay_turn
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07599889797
Minimum-2.441242056
Maximum2.64107175
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)45.0%
Memory size928.0 B
2025-03-29T15:55:28.380504image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.441242056
5-th percentile-1.440934554
Q1-0.4556243876
median0.09999722588
Q30.6873316006
95-th percentile1.415910633
Maximum2.64107175
Range5.082313806
Interquartile range (IQR)1.142955988

Descriptive statistics

Standard deviation0.9168947521
Coefficient of variation (CV)12.06457957
Kurtosis0.2456727236
Mean0.07599889797
Median Absolute Deviation (MAD)0.5887485197
Skewness-0.09415693751
Sum7.599889797
Variance0.8406959863
MonotonicityNot monotonic
2025-03-29T15:55:28.517475image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5963290157 1
 
1.0%
1.040840841 1
 
1.0%
0.8538462898 1
 
1.0%
1.415430855 1
 
1.0%
0.06223739239 1
 
1.0%
2.64107175 1
 
1.0%
1.729215143 1
 
1.0%
1.276323017 1
 
1.0%
0.07452847331 1
 
1.0%
1.105885824 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.441242056 1
1.0%
-1.943656728 1
1.0%
-1.65958243 1
1.0%
-1.603939236 1
1.0%
-1.544151292 1
1.0%
ValueCountFrequency (%)
2.64107175 1
1.0%
2.319007934 1
1.0%
1.729215143 1
1.0%
1.674261052 1
1.0%
1.425026405 1
1.0%

sale_invcap
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03509829796
Minimum-2.041328232
Maximum2.129481628
Zeros0
Zeros (%)0.0%
Negative52
Negative (%)52.0%
Memory size928.0 B
2025-03-29T15:55:28.652757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.041328232
5-th percentile-1.553197811
Q1-0.558593052
median-0.03672794133
Q30.5758639788
95-th percentile1.402328858
Maximum2.129481628
Range4.17080986
Interquartile range (IQR)1.134457031

Descriptive statistics

Standard deviation0.8836664731
Coefficient of variation (CV)-25.17690385
Kurtosis-0.4159086642
Mean-0.03509829796
Median Absolute Deviation (MAD)0.5658698321
Skewness-0.07794861393
Sum-3.509829796
Variance0.7808664357
MonotonicityNot monotonic
2025-03-29T15:55:28.785201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.2354246246 1
 
1.0%
-1.274642219 1
 
1.0%
0.5217820387 1
 
1.0%
-0.2801482316 1
 
1.0%
1.399099745 1
 
1.0%
-0.7230599647 1
 
1.0%
-0.1910801956 1
 
1.0%
1.127209732 1
 
1.0%
-0.4649998703 1
 
1.0%
0.3219859116 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.041328232 1
1.0%
-1.876832026 1
1.0%
-1.828401934 1
1.0%
-1.749977533 1
1.0%
-1.661877514 1
1.0%
ValueCountFrequency (%)
2.129481628 1
1.0%
1.620183493 1
1.0%
1.560256802 1
1.0%
1.555136678 1
1.0%
1.463682002 1
1.0%

sale_equity
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04456562338
Minimum-3.104605252
Maximum2.090343649
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)50.0%
Memory size928.0 B
2025-03-29T15:55:28.927066image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-3.104605252
5-th percentile-1.244447184
Q1-0.5877344988
median0.01397848862
Q30.7819124769
95-th percentile1.534683053
Maximum2.090343649
Range5.1949489
Interquartile range (IQR)1.369646976

Descriptive statistics

Standard deviation0.9375227847
Coefficient of variation (CV)21.03690499
Kurtosis0.4123705994
Mean0.04456562338
Median Absolute Deviation (MAD)0.6560416248
Skewness-0.3527064894
Sum4.456562338
Variance0.8789489718
MonotonicityNot monotonic
2025-03-29T15:55:29.071436image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4566760979 1
 
1.0%
0.9808973684 1
 
1.0%
-0.6777355829 1
 
1.0%
-2.182975286 1
 
1.0%
-1.012547967 1
 
1.0%
0.5027275963 1
 
1.0%
0.3390236104 1
 
1.0%
-3.104605252 1
 
1.0%
-0.1413145304 1
 
1.0%
0.2479991646 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-3.104605252 1
1.0%
-2.182975286 1
1.0%
-1.967106457 1
1.0%
-1.818966678 1
1.0%
-1.329587417 1
1.0%
ValueCountFrequency (%)
2.090343649 1
1.0%
1.959576493 1
1.0%
1.620572086 1
1.0%
1.550996355 1
1.0%
1.535187012 1
1.0%

rd_sale
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03960702756
Minimum-2.445939224
Maximum2.702610718
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:29.203159image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.445939224
5-th percentile-1.782260451
Q1-0.7008655847
median0.0115925742
Q30.6616049949
95-th percentile1.879071267
Maximum2.702610718
Range5.148549942
Interquartile range (IQR)1.36247058

Descriptive statistics

Standard deviation1.031947808
Coefficient of variation (CV)26.05466432
Kurtosis-0.07695734885
Mean0.03960702756
Median Absolute Deviation (MAD)0.6927619353
Skewness0.01653529046
Sum3.960702756
Variance1.064916278
MonotonicityNot monotonic
2025-03-29T15:55:29.338311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.878286149 1
 
1.0%
-0.747929671 1
 
1.0%
-1.580710853 1
 
1.0%
-0.2295941804 1
 
1.0%
0.4311470085 1
 
1.0%
-1.014256342 1
 
1.0%
-1.16159543 1
 
1.0%
0.5396369065 1
 
1.0%
0.01234340412 1
 
1.0%
0.8102972058 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.445939224 1
1.0%
-2.176127459 1
1.0%
-2.17116538 1
1.0%
-1.962182628 1
1.0%
-1.801036182 1
1.0%
ValueCountFrequency (%)
2.702610718 1
1.0%
2.080314258 1
1.0%
2.06302409 1
1.0%
1.898180775 1
1.0%
1.893988518 1
1.0%

adv_sale
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03565704817
Minimum-2.180119904
Maximum2.16646019
Zeros0
Zeros (%)0.0%
Negative49
Negative (%)49.0%
Memory size928.0 B
2025-03-29T15:55:29.468688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.180119904
5-th percentile-1.489839013
Q1-0.55579665
median0.02600226766
Q30.5902195123
95-th percentile1.631209267
Maximum2.16646019
Range4.346580093
Interquartile range (IQR)1.146016162

Descriptive statistics

Standard deviation0.9494899059
Coefficient of variation (CV)26.62839339
Kurtosis-0.1327919159
Mean0.03565704817
Median Absolute Deviation (MAD)0.5648575119
Skewness0.03853343598
Sum3.565704817
Variance0.9015310813
MonotonicityNot monotonic
2025-03-29T15:55:29.604824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.3380595 1
 
1.0%
0.8934144358 1
 
1.0%
-0.1850928297 1
 
1.0%
0.7381614484 1
 
1.0%
0.2453762618 1
 
1.0%
-0.01818337929 1
 
1.0%
0.4632991259 1
 
1.0%
-1.00002464 1
 
1.0%
-0.4745386191 1
 
1.0%
1.698926155 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.180119904 1
1.0%
-2.143392512 1
1.0%
-1.913430372 1
1.0%
-1.722194924 1
1.0%
-1.634273042 1
1.0%
ValueCountFrequency (%)
2.16646019 1
1.0%
2.152323914 1
1.0%
2.143161518 1
1.0%
1.858608897 1
1.0%
1.698926155 1
1.0%

staff_sale
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2010777987
Minimum-2.290096862
Maximum2.648903621
Zeros0
Zeros (%)0.0%
Negative40
Negative (%)40.0%
Memory size928.0 B
2025-03-29T15:55:29.739192image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.290096862
5-th percentile-1.380250375
Q1-0.5005050764
median0.3114786949
Q30.8574083617
95-th percentile1.894027171
Maximum2.648903621
Range4.939000483
Interquartile range (IQR)1.357913438

Descriptive statistics

Standard deviation0.9951361141
Coefficient of variation (CV)4.949010387
Kurtosis-0.1924499317
Mean0.2010777987
Median Absolute Deviation (MAD)0.6803841704
Skewness-0.02411863873
Sum20.10777987
Variance0.9902958856
MonotonicityNot monotonic
2025-03-29T15:55:29.878871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8625645967 1
 
1.0%
1.034845103 1
 
1.0%
0.4128292936 1
 
1.0%
1.565425664 1
 
1.0%
0.574308485 1
 
1.0%
-0.04778753123 1
 
1.0%
-0.3390764103 1
 
1.0%
-0.9727182814 1
 
1.0%
1.958369807 1
 
1.0%
0.8556896168 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.290096862 1
1.0%
-1.949645194 1
1.0%
-1.683422976 1
1.0%
-1.447213461 1
1.0%
-1.404772683 1
1.0%
ValueCountFrequency (%)
2.648903621 1
1.0%
2.45485802 1
1.0%
2.186806494 1
1.0%
1.958369807 1
1.0%
1.907680634 1
1.0%

accrual
Real number (ℝ)

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.002297722872
Minimum-2.240399353
Maximum2.113185136
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)53.0%
Memory size928.0 B
2025-03-29T15:55:30.015092image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-2.240399353
5-th percentile-1.623860257
Q1-0.5766694518
median-0.09873966275
Q30.6875258901
95-th percentile1.623809
Maximum2.113185136
Range4.353584489
Interquartile range (IQR)1.264195342

Descriptive statistics

Standard deviation0.954758231
Coefficient of variation (CV)-415.5236659
Kurtosis-0.330246196
Mean-0.002297722872
Median Absolute Deviation (MAD)0.6511235755
Skewness0.007391498395
Sum-0.2297722872
Variance0.9115632797
MonotonicityNot monotonic
2025-03-29T15:55:30.143381image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8226480217 1
 
1.0%
1.324363247 1
 
1.0%
-0.697358672 1
 
1.0%
0.2322140139 1
 
1.0%
-0.9613395838 1
 
1.0%
-0.2936370929 1
 
1.0%
1.142650686 1
 
1.0%
0.2160687541 1
 
1.0%
1.399014781 1
 
1.0%
0.3976034745 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-2.240399353 1
1.0%
-2.082179063 1
1.0%
-1.877830876 1
1.0%
-1.760827533 1
1.0%
-1.630438154 1
1.0%
ValueCountFrequency (%)
2.113185136 1
1.0%
1.97843692 1
1.0%
1.879410807 1
1.0%
1.785756916 1
1.0%
1.696505582 1
1.0%
Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size928.0 B
2025-03-29T15:55:30.311758image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length116
Median length108
Mean length97.06
Min length83

Characters and Unicode

Total characters9706
Distinct characters32
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowChallenges remain in the supply chain, but strategic investments in logistics are improving efficiencies.
2nd rowThe company reported a steady increase in revenue, reflecting strong market demand.
3rd rowThe company reported a steady increase in revenue, reflecting strong market demand.
4th rowThe company reported a steady increase in revenue, reflecting strong market demand.
5th rowThe company reported a steady increase in revenue, reflecting strong market demand.
ValueCountFrequency (%)
in 100
 
7.4%
the 86
 
6.4%
and 46
 
3.4%
market 40
 
3.0%
strong 40
 
3.0%
with 32
 
2.4%
reflecting 31
 
2.3%
company 31
 
2.3%
demand 31
 
2.3%
revenue 31
 
2.3%
Other values (49) 879
65.3%
2025-03-29T15:55:30.584692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1247
12.8%
e 1098
11.3%
i 814
 
8.4%
t 734
 
7.6%
n 728
 
7.5%
a 586
 
6.0%
r 554
 
5.7%
s 544
 
5.6%
o 438
 
4.5%
c 305
 
3.1%
Other values (22) 2658
27.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9706
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1247
12.8%
e 1098
11.3%
i 814
 
8.4%
t 734
 
7.6%
n 728
 
7.5%
a 586
 
6.0%
r 554
 
5.7%
s 544
 
5.6%
o 438
 
4.5%
c 305
 
3.1%
Other values (22) 2658
27.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9706
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1247
12.8%
e 1098
11.3%
i 814
 
8.4%
t 734
 
7.6%
n 728
 
7.5%
a 586
 
6.0%
r 554
 
5.7%
s 544
 
5.6%
o 438
 
4.5%
c 305
 
3.1%
Other values (22) 2658
27.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9706
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1247
12.8%
e 1098
11.3%
i 814
 
8.4%
t 734
 
7.6%
n 728
 
7.5%
a 586
 
6.0%
r 554
 
5.7%
s 544
 
5.6%
o 438
 
4.5%
c 305
 
3.1%
Other values (22) 2658
27.4%